Welcome to my homepage! I am currently an associate professor at the Department of Biostatistics and Epidemiology at University of Oklahoma Health Sciences Center. 

CONTACT INFO

Phone: (405) 271-2229 x48628

Office: The University of Oklahoma Health Sciences Center, 801 NE 13th St, Room 325, Oklahoma City, OK 73104

Email: Sixia-Chen@ouhsc.edu

EDUCATION

• 1997-2000: ChangJun Middle School, Changsha, Hunan, China

• 2000-2003: ChangJun High School, Changsha, Hunan, China

• 2003-2007: BA in Mathematics at Fudan University, Shanghai, China

• 2007-2012: PhD in Statistics at Iowa State University, USA, Advisors: Professor Jae Kwang Kim and Professor Wayne Fuller

• 2017-2018: Certificate of University of Oklahoma Health Sciences Center (OUHSC) Faculty Leadership Program

• 2022-2023: Certificate of Scholarship and Teaching Excellence Program (STEP) 

EMPLOYMENT HISTORY

• Jan. 2022 - Present: Full Member of the Stephenson Cancer Center at OUHSC, Cancer Prevention and Control research program

• Sep. 2020 - Dec. 2021: Associate Member of the Stephenson Cancer Center at OUHSC, Cancer Prevention and Control research program

• Sep. 2020 - Present: OUHSC Health Promotion Research Center (HPRC) Faculty Affiliate

• Nov. 2019 - Present: Full member of the Graduate Faculty in Clinical and Translational Sciences at OUHSC  

• June. 2018 – Present: Director of Novel Methodologies Unit of Biostatistics, Epidemiology, and Research Design Core of the Oklahoma Shared Clinical and Translational Resources (OSCTR)

• Sep. 2017 - Present: Biostatistician of Biomedical and Behavioral Methodology Core (BBMC) at University of Oklahoma Health Science Center

•  Aug. 2016 – Present: Statistical consultant of Tribal Epidemiology Center at Southern Plains Tribal Health Board

•  Feb. 2016 – Present: Faculty member of Biostatistics Core for Stephenson Cancer Center at OU  

• June. 2015 – Present: Survey Methodologist at Sooner Survey Center at OU

• May 2022 – Present: Associate Professor, University of Oklahoma Health Sciences Center, U.S.A.

• June. 2015 – April 2022: Assistant Professor, University of Oklahoma Health Sciences Center, U.S.A.

•  Aug. 2012 – May. 2015: Senior Statistician, Westat

•  Aug. 2008 – July. 2012: Research Assistant, Center of Survey and Statistical Methodology (CSSM), Department of Statistics, Iowa State University

• May. 2011 – Aug. 2011: Statistical Analyst, Mathematica Policy Research 

• Aug. 2007 – July. 2008: Teaching Assistant, Department of Statistics, Iowa State University

RESEARCH INTERESTS

• Statistical methods:

  • Missing data analysis

  • Survey sampling

  • Empirical likelihood

  • Nonparametric and Semiparametric Methods

  • Statistical Disclosure Control

  • Causal inference

  • Big data and Machine Learning

  • Biostatistics

• Health research:

  • Measurement error models for Nutrition Intake and Physical Activity

  • Native American Health Disparities 

  • Tobacco research

  • Cancer Prevention and Control

AWARDS

• 2023 Invited summer at census scholar, US Census Bureau 

• 2023 Provost's Teaching Award - Early Career Faculty, University of Oklahoma Health Sciences Center

• 2023 Invited member of Educators for Excellence, University of Oklahoma Health Sciences Center

• 2022 American Statistical Association Outstanding Chapter Service Award

• 2022 Elected member of International Statistical Institute

• 2022 Provost's Research Award-Junior Faculty, University of Oklahoma Health Sciences Center

• 2020 Hudson College of Public Health Faculty Board Award for Outstanding Teaching 

• 2013 Graybill Conference Student Travel Award in Corolado State University

• 2012 SRMS Student Travel Award, Survey Research Methods Section, American Statistical Association

• 2008 Kempthorne Award in Statistics: Presented annually to recognize the top student in linear models. Iowa State University

• 2002 First Prize in National High School Mathematics League, China

• 2000 First Prize in National Middle School Mathematics League, China

GRANTS

Funded

• Improving the representativeness of Tribal Behavioral Risk Factor Surveillance System through machine learning and propensity score weighting based data integration . NIH R21. $224,789, Role: PI/PD.  9/26/2020-6/30/2022

• Stephenson Cancer Center - Cancer Center Support Grant. PI: Mark Doescher, Co-Is: Sixia Chen, Janis Campbell. Cancer Center support Grant P30 supplement. $145,000, 5/1/2020-4/30/2021 

• The Role of TGF-beta Activation and Signaling in Aortic Stenosis Progression. PI: Jasim Ahamed, OUHSC PI: Sixia Chen. NIH R01.  $523,846, 4/1/2020-2/29/2024

• The Role of Necroptosis in Aging. PI: Sathyaseelan,Deepa S, Co-I: Sixia Chen. NIH R01. $642,786, 5/1/2019-2/28/2021 

• Salivary biodegradation modulates oral microcosm biofilm. PI: Khajotia,Sharukh, Co-I: Sixia Chen. NIH R15. $435,000, 4/1/2019-3/31/2022

• Machine learning enhanced COVID-19 propagation models for rural, semi-rural, and small urban regions. PI: Charles Nicholson, Co-PIs: Sixia Chen, Talayeh Razzaghi. COVID-19-Related Rapid Response Research Seed Grant, The Office of the Vice President for Research and Partnerships (OVPRP) at the OU. $38,000, 05/01/2020-10/31/2020

• A novel cost-efficient oversampling approach for telephone surveys conducted among minority populations. PI/PD: Sixia Chen. University of Oklahoma Health Science Center, Presbyterian Health Foundation seed grant, $38,405, 07/01/2017-06/30/2018

• Chronic obstructive pulmonary disease among Native American in Oklahoma. PI: Huimin Wu, Co-PIs: Sixia Chen, Brent Brown and Dorothy Rhoades. Oklahoma Shared Clinical and Translational Resources (OSCTR) pilot grant. $50,000, 07/1/2020-6/30/2021

• Dual Influences of Vaping and Smoking Identities on Young Adult Smokers Who Use electronic Cigarettes. PI: Cheney Marshall, OUHSC PI: Sixia Chen. NIH R03. $24,302, 09/01/2017-08/31/2019

• Novel sampling and missing data analysis methods for American Indian population. PI/PD: Sixia Chen. Southern Plains Tribal Health Board . $10,000-12,000 (each year), 12/31/2016-12/31/2020 (annually renewable)

• Real-time Epidural Anesthesia Guidance Using Multi-contrast Optical Coherence Tomography Needle Probe. PI: Qinggong Tang, Co-I: Sixia Chen. Oklahoma Center for the Advancement of Science & Technology (OCAST) Competition Health Research Award. $45,000, 07/01/2019-07/01/2022 

• CANSSI Collaborative Research Team Project “Modern Techniques for Survey Sampling and Complex Data ” (PI: D. Haziza and C. Wu, Co-PIs: J. F. Beaumont, A. Beliveau, S. Cai, J. Chen, S. Chen, C. Goga, J. K. Kim, Z. Wang and P. Zhao), $180,000, 2020-2023 

• Using a novel machine learning based data integration procedure to understand Cherokee Nation Community population health. NIH NARCH11. Role: PI/Project Lead for the Pilot project, $308,803, 09/01/2021-8/31/2025 

• Chronic Respiratory Diseases among Native Americans: The Strong Heart Study. College of Medicine Alumni Association (COMAA) (PI: Wu). Role: Co-I, $45,000, 07/01/2021-6/30/2022

• Role of estrogen receptor-α in aging and sex-specific responses to 17α-estradiol. PI: Michael B, Stout, NIH R01. Role: Co-I

• CATCHUP Vaccines. PI: Judith James, NIH OSCTR supplement. Role: Co-I, $262,500, 7/1/2021-6/30/2022

• Promoting Resilience and Lowering Risk in Early childhood: An mHealth Intervention Study . PI: Helen M. Milojevich, OSCTR Pilot Grant. Role: Co-I, $72,500, Jan 1, 2022 – Dec. 31, 2022 

• Informatics Tools for Equitable Childhood Cancer Survivorship Care in Oklahoma. PI: David Noyd, ACS IRG Pilot Grant. Role: Co-I, $50,000, Jan 1, 2022 - Dec. 31, 2022

• 3D Imaging of Bladder Cancer. PI: Qinggong Tang, ACS IRG Pilot Grant. Role: Co-I, $50,000, Jan 1, 2022 - Dec. 31, 2022

• Pilot Study: Non-invasive 3D Optical Biopsy for Assessment of Transplant Kidney Viability. PI: Qinggong Tang, OSCTR Pilot Grant. Role: Co-I, $72,499, Jan 1, 2022 - Dec. 31, 2022 

• mHealth Intervention for Self-Management among Vietnamese Americans with Type 2 Diabetes (SMART-D): A Feasibility Study. PI: Anna Nguyen, University of Oklahoma Health Science Center, Presbyterian Health Foundation seed grant, Role: Co-I, $50,000, Aug 1, 2022-July 31, 2023

• TSET Pilot Funds (PI: Businelle), 05/15/2022-06/30/2023, Ready2Quit – Testing a Novel Smartphone Application for Smoking Cessation with the Oklahoma Helpline. Direct costs: $300,531. Role: Co-I

• Vitamin B6 Modulates NK Cell Metabolism in Pancreatic Ca. NIH R01. Role: Co-I,  PI: Kamiya Mehla. 12/1/2022-11/30/2027

• Cardiovascular Risk of Antiretroviral Therapy Drugs in HIV. NIH R01. Role: OUHSC Site PI, PI: Jasim Ahaned. 4/1/2023-3/31/2027

• Investigating One Carbon Metabolic Alterations to Target Pancreatic Cancer Cachexia. PI: Kamiya Mehla. DOD CDMRP. Role: Co-I

• Investigating the causal effect of e-cigarette use and health outcomes for minority populations by using machine learning based propensity score methods. OSCTR Pilot Grant. Role: PI/PD, $72,370, 1/1/2024-12/31/2024

• Developing analytic tools for handling nonprobability samples with application to census data files. PI: Sixia Chen, ASA/NSF/CENSUS research fellowship program, $246,680, 6/1/2024-5/31/2026

Pending

• Improving anti-tumor NK cell response against pancreatic cancer. NIH R21 (PI: Mehla). Role: Co-I.

• The Oklahoma Center for Population Health Research. NIH COBRE. Role: Co-I 

• Improving the understanding of association between health outcomes and tobacco product types by combining information from multiple nationally representative samples. NIH NIDA R21. Role: PI/PD

• Oklahoma Biostatistics Research Institute and Training Experience (OK-BRITE). NIH R25 (PI: Vesely). Role: Co-I

• Studying the Atraumatic Effect of Cochlear Insertion on the Vestibular Function with An Animal Model. NIH R21. Role: Consultant

• Mechanism of complement-mediated COVID-19 coagulopathy. PI: Jasim Ahamed. NIH R01. Role: Consultant

• Exosome Mediated Retinal Gliosis in Proliferative Vitreoretinopathy. PI: Sun Young Lee. NIH K08. Role: Consultant

TEACHING

• Insctructor of short course 'Analytic Tools for Handling Nonprobability Samples'. Summer at Census Scholar, July 26th, 2023

• Instructor for short course 'Introduction to Data Integration for Combining Probability and Non-Probability Samples'. AAPOR short course, May 1st, 2023

• Instructor and Organizer for workshop 'Introduction to Complex Survey Data Analysis', Department of Biostatistics and Epidemiology, OUHSC, April 7th, 2023

• Biostat consultant for 'Clinical Trials', Department of Biostatistics and Epidemiology, OUHSC, Jan. 2023-May. 2023

• Co-Instructor for 'Problems in Biostatistics and Epidemiology', Department of Biostatistics and Epidemiology, University of Oklahoma, Jan. 2023-May. 2023

• Instructor for 'Biostatistics Methods II', Department of Biostatistics and Epidemiology, OUHSC, Jan. 2023-May. 2023

• Instructor for ‘Nonparametric methods’, Department of Biostatistics and Epidemiology, University of Oklahoma, Aug. 2022-Dec. 2022

• Co-Instructor for 'Problems in Biostatistics and Epidemiology', Department of Biostatistics and Epidemiology, University of Oklahoma, Jan. 2022-May. 2022

• Instructor for ‘Sampling theory and methods’, Department of Biostatistics and Epidemiology, University of Oklahoma, Jan. 2022-May. 2022

• Instructor and Organizer for 12 weeks' short courses 'R short course Part II (Advanced Topics)', Department of Biostatistics and Epidemiology, OUHSC, March. 2021-April. 2021 

• Instructor and Organizer for 5 weeks' short courses 'R short course Part I (Introductory Topics)', Department of Biostatistics and Epidemiology, University of Oklahoma, Feb. 2020, Sept. 2020 

• Instructor for ‘Nonparametric methods’, Department of Biostatistics and Epidemiology, University of Oklahoma, Aug. 2020-Dec. 2020

• Instructor for ‘Sampling theory and methods’, Department of Biostatistics and Epidemiology, University of Oklahoma, Jan. 2020-May. 2020

• Instructor for 'Linear Model', Department of Biostatistics and Epidemiology, University of Oklahoma, Aug. 2019-Dec. 2019

• Instructor and Organizer for 2 weeks' short course 'Introduction to small area estimation', Department of Biostatistics and Epidemiology, University of Oklahoma, July.2019 

• Instructor for ‘Nonparametric methods’, Department of Biostatistics and Epidemiology, University of Oklahoma, Aug. 2018-Dec. 2018

• Instructor for ‘Sampling theory and methods’, Department of Biostatistics and Epidemiology, University of Oklahoma, Jan. 2018-May. 2018

• Instructor for ‘BSE 5663 Analysis of Frequency Data’, Department of Biostatistics and Epidemiology, University of Oklahoma, Aug. 2017-Dec. 2017

• Instructor and Organizer for 6 weeks' short course 'Introduction to missing data analysis', Department of Biostatistics and Epidemiology, University of Oklahoma, May. 2017-June. 2017 

• Instructor (joint with Prof. David Thompson) for ‘Applications of Microcomputers to Data Analysis’, Department of Biostatistics and Epidemiology, University of Oklahoma, Aug. 2016-Dec. 2016

• Instructor for ‘Sampling theory and methods’, Department of Biostatistics and Epidemiology, University of Oklahoma, Jan. 2016-May. 2016

• Instructor and Organizer (joint with Prof. Daniel Zhao) for ‘R Short Course’, Department of Biostatistics and Epidemiology, University of Oklahoma, Oct. 2015-Nov. 2015

• Guest instructor for ‘Special topics in research’, The Joint Program in Survey Methodology, University of Maryland, College Park, MD, April, August 2014 and April, August 2013

• Laboratory Instructor for ‘Survey Sampling Course’, Department of Statistics, Iowa State University, Ames, IA, Jan. 2011-May. 2011  

• Teaching Assistant, Department of Statistics, Iowa State University, Ames, IA, Aug. 2007-Aug.2008

PRACTICAL EXPERIENCE

I have more than 15 year’s practical experience in survey sampling and missing data analysis. I worked on many survey projects such as National Resource Inventory (NRI), National Health Nutrition and Examination Survey (NHANES), National Health Interview Survey (NHIS), Campus Climate Survey on Sexual Assault and Sexual Misconduct (CCSSASM), Schools and Staffing Survey (SASS), Programmer for the International Assessment of Adult Competencies (PIAAC), Minnesota Survey on Adult Substance use (MSASU),  Oklahoma Tribal Behavioral Risk Factor Surveillance System (BRFSS), Oklahoma tobacco stops with me (TSWM), Tobacco Settlement Endowment Trust Healthy Living Program Community Member Survey (TSET HLP), Oklahoma shape your future survey, Cherokee Nation Adult Tobacco Survey and so on. For those surveys, I have done power calculation, sampling, weighting, imputation, nonresponse bias analysis, statistical disclosure control and statistical analysis.

PUBLICATIONS

• Articles in refereed journals (italic refers to students or mentees) (Total=103)

• Independent statistical/biostatistical methodological research:

1. S. Chen and M. Anderson. (2024). On the use of Multiple Imputation approach in Pediatric Research. In process at The Journal of Pediatrics (Invited submission)

2. S. Chen, Y. Wang and Y. Zhao. (2024). Bayesian jackknife empirical likelihood based inference for missing data and causal inference problems. In process at The Canadian Journal of Statistics

3. S. Chen and C. Xu. (2024). Predictive mean matching imputation procedure based on machine learning models for complex survey data. In process at Journal of Data Science 

4. S. Chen and D. Haziza (2023). Doubly and multiply robust procedures for missing survey data. In process at The Survey Statistician (Invited Submission)

5. Z. Xu, S. Yan, C. Wu, Q, Duan, S. Chen, and Y. Li (2023). Next-Generation Sequencing Data-Based Association Testing of a Group of Genetic Markers for Complex Responses Using a Generalized Linear Model Framework. In process at Mathematics

6. S. Chen, A. Woodruff, J. Campbell, S. Vesely, Z. Xu, and C. Snider. (2023). Combining probability and nonprobability samples by using multivariate mass imputation approaches. Stats, 6(2), 617-625 

7. S. Chen, D. Haziza, and V. MICHAL (2023). Efficient multiply robust procedures in the presence of influential units. In process at Canadian Journal of Statistics 

8. Xu, Z.; Yan, S.; Yuan, S.; Wu, C.; Chen, S.; Guo, Z.; Li, Y. (2023) Efficient Two-Stage Analysis for Complex Trait Association with Arbitrary Depth Sequencing Data. Stats, 6, 468-481. https://doi.org/10.3390/stats6010029 

9. S. Chen, J. Campbell, E. Spain, A. Milligan, and C. Snider. (2023). Improving the representativeness of the Tribal Behavioral Risk Factor Surveillance System through data integration. In process at BMC Public Health

10. S. Pan. and S. Chen. (2023). Empirical Comparison of Imputation Methods for Multivariate Missing Data in Public Health. In process at International Journal of Environmental Research and Public Health , Special Issue on "Innovative Statistical Analysis in Public Health", Invited submission

11. Lee, D., Zhang, L. C., and Chen, S. (2022). Robust quasi-randomisation-based estimation with ensemble learning for missing data. In process at Scandinavian Journal of Statistics 

12. S. Chen and D. Haziza. (2022). A unified framework of multiply robust estimation approaches for handling incomplete data. In process at Computational Statistics and Data Analysis

13. B. Gochanour, S. Chen, L. Beebe. and D. Haziza. (2022). A semiparametric multiply robust multiple imputation method for causal inference. In process at Metrika 

14. B. Gochanour, S. Chen, and L. Beebe. (2022). Multiply robust Bayesian procedures for causal inference problems. In process at Communications in Statistics - Simulation and Computation

15. S. Chen and D. Haziza. (2022). A general multiply robust framework for combining probability and non-probability samples in surveys. In process at Scandinavian Journal of Statistics 

16. S. Chen, D. Haziza and Z. Mashreghi (2022). A comparison of existing bootstrap algorithms for multi-stage sampling designs. Stats (Invited submission), Special Issue "Re-sampling Methods for Statistical Inference of the 2020s", 5(2), 521-537

17. S. Chen and C. Xu. (2022). Handling high dimensional data with missing values by modern machine learning techniques. In process at Journal of Applied Statistics

18. S. Chen, S. Yang and J. K. Kim. (2022). Nonparametric mass imputation for data integration. Journal of Survey Statistics and Methodology, 10(1), 1–24 

19. D. Haziza, S. Chen and Y. Gao. (2022). Targeting key survey variables at the nonresponse treatment stage. Journal of Survey Statistics and Methodology, 10(1), 25–49 

20. S. Chen, D. Haziza and A. Stubblefield. (2021). A note on multiply robust predictive mean matching imputation with complex survey data. Survey Methodology, 47, 215-222

21. S. Chen, Y. Zhao, Y. Wang. (2021). Sample empirical likelihood estimator for scrambled responses under complex survey design. Survey Methodology, 47, 59-74 

22. S. Chen and D. Haziza (2021). A review of multiply robust estimation with missing data. Invited submission of Springer Book Chapter of Modern Statistical Methods for Health Research, 103-118 

23. S. Chen, A. Stubblefield and J. Stoner. (2021). Oversampling of minority populations through dual-frame surveys . Journal of Survey Statistics and Methodology, 9(3), 626–649 

24. S. Chen, D. Haziza and Z. Mashreghi (2021). Multiply robust bootstrap variance estimation in the presence of singly imputed survey data. Journal of Survey Statistics and Methodology, 9(4), 810–832 

25. S. Chen and Y. D. Zhao. (2019). Quantile regression analysis with complex survey data under informative sampling. Journal of Survey Statistics and Methodology, 7, 157-174 (R code available at https://github.com/yandzhao/Quantile-Regression-of-Survey-Data)

26. S. Chen and D. Haziza. (2019). Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review. International Statistical Review (Invited Submission), 87, 192-218

27. S. Chen, D. Haziza, C. Leger and Z. Mashreghi. (2019). Pseudo-population bootstrap methods for imputed survey data. Biometrika, 106, 369-384

28. S. Chen and D. Haziza. (2019). On the nonparametric multiple imputation with multiply robustness. Statistica Sinica, 29, 2035-2053

29. S. Chen and D. Haziza. (2018). Jackknife empirical likelihood method for multiply robust estimation with missing data. Computational Statistics and Data Analysis,127, 258-268

30. S. Chen and D. Haziza. (2017). Multiply robust imputation procedures for zero-inflated distribution in surveys. Invited submission at METRON, 75, 333–343 

31. S. Chen and J. K. Kim. (2017). Semiparametric fractional imputation using empirical likelihood in survey sampling. Statistical Theory and Related Fields, 1, 69-81

32. S. Chen and K. Rust. (2017). An extension of the model-based justification of Kish’s formula for design effects to two and three-stage designs with stratification. Journal of Survey Statistics and Methodology. 5, 111-130. 

33. S. Chen and D. Haziza. (2017). Multiply robust imputation procedures for the treatment of item nonresponse in surveys. Biometrika. 104, 439-453.  

34. S. Chen and G. Kalton. (2015). Geographic oversampling for race/ethnicity using data from the 2010 U.S. population census. Journal of Survey Statistics and Methodology. 3, 543-565.

35. S. Chen and J. K. Kim. (2014). Two-phase sampling for propensity score estimation in self-selected samples. The Annals of Applied Statistics. 3, 1492-1515.

36. S. Chen and J. K. Kim. (2014). Population empirical likelihood for nonparametric inference in survey sampling. Statistica Sinica. 24, 335-355.

37. S. Chen and J. K. Kim. (2014). Semi-parametric inference with a functional-form empirical likelihood. Journal of Korean Statistical Society. 43, 201-214.

38. P. S. Zhong and S. Chen. (2014). Jackknife empirical likelihood inference with regression imputation and survey data. Journal of Multivariate Analysis. 129, 193-205.

39. B. Xiong and S. Chen. (2014). Estimating gravity equation models in the presence of sample selection and heteroscedasticity. Applied Economics. 46, 2993-3003.

40. S. Chen. (2013). A unified theory on empirical likelihood methods for missing data. Statistics and Its Interface. 6, 325-338.

• Collaborative research: 

1. Kendzor, D. E ., Businelle, M. S., Frank-Pearce, S. G., Waring, J. J.C., Chen, S., Hebert, E. T., Swartz, M. D., Alexander, A. C., Sifat, M. S., Boozary, L. K., Wetter, D. W. (2024). Small financial incentives for smoking cessation among socioeconomically disadvantaged adults: A randomized controlled trial. In process at JAMA Network Open.

2. Ulm, C., Chen, S., Fleshman, B., De La Torre, I., Benson, L., Kendzor, D. E., Frank-Pearce, S., Neil, J., Song, H., and Businelle M. S (2024). Factors associated with ecological momentary assessment and message compliance in smokers initially unmotivated to quit. In process at JMIR Formative Research 

3. A. R. Evans, L. Villeneuve, I. Bowen, L. Carter, S. Chen, M. Kimmell, J. Gernsback, K. Balsara, A. Jea, V. R Desai (2024). Ventriculoperitoneal Shunt Placement Following Endoscopic Third Ventriculostomy Failure in the Treatment of Pediatric Hydrocephalus. In process at Journal of Neurosurgery: Pediatrics 

4. T. Niznik, S. Chen, J. Gernsback. (2024). Through the Looking Glass: Comparing Resident and Attending Views on Competency and Autonomy. In process at World Neurosurgery 

5. S. A. James, S. Chen, J. Dang, S. Hall, J. E. Campbell, M. S. Chen, M. P. Doescher. (2024). Changes in alcohol consumption and binge drinking during the COVID-19 pandemic among American Indians residing in California and Oklahoma. In process at The American Journal of Drug and Alcohol Abuse

6. J. Dang, S. Chen, S. Hall, J. Campbell, M. Chen, and M. Doescher. (2024). The Impact of COVID-19 on Planned and Postponed Cancer Screenings Among American Indians Residing in California and Oklahoma. In process at Public Health Reports

7. G. Moon, T. Ajayi, S. Chen, S. Pan, A. Oseini, C. Houchen (2024).Surging liver transplantation for nonalcoholic steatohepatitis from 2000 - 2022: a national database study. In process at Southern Medical Journal

8. K. Y. Prather, M. P Baier, N. J. Coulibaly, M. E. Stephens, S. Chen, M. E. Omini, A. Jea. (2024). Resection of intradural spinal lesions with concomitant instrumented fusion in children: a systematic review and representative cases. In process at Journal of Neurosurgery: Pediatrics

9. S. A. James, A. H. White, F. Khan, M., Nasir, S., Chen, and L. A. Beebe. (2024). Susceptibility to e-cigarette use and associated factors in high school youth, Oklahoma Youth Tobacco Survey, 2021-2022 . In process at Frontiers in Public Health 

10. S. A. Tavakol, K. Zieles, M. Peters, M. Omini, S. Chen, A. Jea (2023). The Impact of Social Determinants of Health on Early Outcomes after Adult Chiari Surgery. In process at Geroscience 

11. S. Pan, S. Chen, A. Fretts, T. Ali. (2023). Associations of Pedometer-Measured Ambulatory Activity with Incidence of Atherosclerotic Cardiovascular Diseases: Strong Heart Family Study. In process at Preventive Medicine

12. J. Dang, S. Chen, S. Hall, J. E. Campbell, M. S. Chen, M. P Doescher. (2023). Tobacco and Marijuana Use during the COVID-19 Pandemic Lockdown Among American Indians Residing in California and Oklahoma. In process at Tobacco Induced Diseases 

13. J. E. Campbell, S. Chen, A. Bailey, A. Blair, A. L. Comiford. (2023). Investigating Cannabis-Use among Students attending High Schools within the Cherokee Nation Reservation 2017 and 2019. In process at Journal of Community Health

14. Wang , C, Liu, Y. L, Calle P, Li, X. W, Liu, R. H, Zhang, Q. H, Yang, F, Fung, K. M, Conner, A. K, Chen, S, Pan, C. L, Tang, Q. G (2023). Enhancing Epidural Needle Guidance using a Polarization-Sensitive Optical Coherence Tomography Probe with Convolutional Neural Networks. Journal of Biophotonics, e202300330 

15. S. Chen, S. A. James, S. Hall, J. Dang, J. E. Campbell, M. S. Chen, M. P. Doescher. (2023). Avoidance of Medical Care Among American Indians with a History of Cancer During the during the Corona Virus (COVID-19) Pandemic . Frontiers in Public Health, 11, 1265071

16. K. Subramani, J. Bander, S. Chen, M. Suárez-Fariñas, T. Venkatesan, S. Subrahmanian, R. Varshney, A. Kini, S. Sharma, D. B. Rifkin, J. Cho, B. S. Coller, and J. Ahamed (2023). Evidence that Anemia Accelerates Aortic Stenosis Progression via Shear-Induced TGF-β1 Activation: Heyde's-Syndrome Comes Full Circle. In process at JACC: Basic to Translational Science

17. A. Nguyen, Z. Nagykaldi, T. Bui, S. Chen, M. Businelle, V. Eschiti, K. Dwyer (2023). Mobile Health Intervention for Vietnamese Living with Diabetes: A Multicenter, Stepped Wedge Randomized Controlled Study Protocol. In process at JMIR Research Protocol 

18. A. E. Janitz, J. M. Neil, L. Bray, L. Jervis, L. Ross, J. Campbell, M. L. Williams, A. Lopez, C. Uribe-Frias, S. Chen, J. A James, T. VanWagoner. (2023). CATCH-UP Vaccines: A randomized controlled trial using the Multiphase Optimization Strategy (MOST) framework to evaluate education interventions to increase COVID-19 vaccine uptake in Oklahoma. In process at BMC Public Health

19. D. H. Noyd, S. Chen, A. Bailey, A. Janitz, A. Baker, W. Beasley, N. Etzold, D. Kendrick, W. Kibbe, K. Oeffinger. (2023). Informatics Tools to Implement Late Cardiovascular Risk Prediction Modeling for Population Management of High-Risk Childhood Cancer Survivors. In process at Pediatric Blood & Cancer 

20. A. Comiford, S. Chen, and A. Blair. (2023). Investigating Tobacco Product Use Behavior among Students attending High Schools within the Cherokee Nation Reservation. In process at Journal of Community Health

21. S. Gopalani, H. Dao, L. Ford, J. Campbell, J. Peck, S. Chen, A. Comiford, N. Etzold, and A. Janitz. (2023). The relation between travel distance and overall survival for HPV-associated cancers in a high burden state. In process at Journal of Registry Management 

22. H. H. Shi, S. Chen, L. Propester, J. Valenzuela, J. Gernsback, V. Desai, K. Balsara, K. Zieles, A. Jea. (2023). The Influence of the Living Pareto Chart and Data Transparency on Patient Outcomes in Neurosurgery. In process at Journal of Neurosurgery Pediatrics 

23. S. Gopalani, A. E. Janitz, M. Burkhart, J. E. Campbell, S. Chen, S. A. Martinez, A. H. White, A. S. Anderson, S. F. Pharr, J. D. Peck, and A. Comiford (2022). HPV vaccination coverage and factors among American Indians in Cherokee Nation.  In process at Cancer Causes & Control 

24. V. R. Gujju, M. Khattab, V. Kastens, S. Chen, M. Khattab. (2022). Reducing Unnecessary CBC Ordering through Education and Standardization: A Quality Improvement Initiative. In process at Quality Management in Health Care 

25. A. M. Westrup, L. S. Hendrickson, K. L. Hughes, J. I. Smith, C. M. O’Neal, S. Chen, A. K. Conner. (2022). Management of Non-Operative Cervical Spine Fractures: An Institutional Analysis of Follow-up Duration and Image Acquisition. In process at Surgical Neurology International 

26. A. E. Sedani, S. Chen, J. E. Beetch, H. D. N. Dao, S. A. Martinez, and J., E. Campbell (2022). INEQUALITIES IN TOBACCO RETAILER COMPLIANCE VIOLATIONS ACROSS THE STATE OF OKLAHOMA, 2015-2019. Journal of Community Health, 47, 658-665

27. C. Nicholson, L. Beattie, M. Beattie, T. Razzaghi, and S. Chen. (2022). A machine learning and clustering-based approach for county-level COVID-19 analysis. PLOS ONE, 17(4): e026755 

28. R. H. Scofield, V. M. Lewis, J. Cavitt, B. T. Kurien, S. Assassi, J. Martin, O. Gorlova, P. Gregersen, A. Lee, L. G. Rider, T. O. Hanlon, S. Rothwell, J. Lilleker, M. G. Consortium, X. Liu, Y. Kochi, C. Terao, A. Igoe, W. Stevens, J. Sahhar, J. Roddy,  M. Rischmueller, S. Lester, S. Proudman, S. Chen, M. A. Brown, M. D. Mayes, J. A. Lamb, F. W. Miller (2022). 47XX and 47XXX in Scleroderma and Myositis. ACR Open Rheumatology, 4(6):528-533 

29. L. McVeigh, M. Anokwute, S. K. Mendenhall, S. Chen, and A. Jea. (2022). Spinal Column Shortening for Tethered Cord Syndrome: A Systematic Review and Individual Patient Data Meta-analysis. Journal of Neurosurgery: Pediatrics, 29(6), 624–633 

30. H. Wu, D. A. Rhoades, S. Chen, M. Slief, C. A. Guy, A. Warren, B. Brown. (2022). Disparities in hospitalized chronic obstructive pulmonary disease exacerbations among American Indians and non-Hispanic Whites. Chronic Obstructive Pulmonary Diseases: Journal of the COPD Foundation, 9(2):122-134 

31. A. Cohn and S. Chen (2022). Age groups differences in the prevalence and popularity of individual tobacco product use in young adult and adult marijuana and tobacco co-users and tobacco-only users: Findings from Wave 4 of the population assessment of tobacco and health study. Drug and Alcohol Dependence, 233:109278 

32. S. Gopalani, A. Janitz, M. Burkhart, J. Campbell, S. Martinez, A. White, S. Chen, A. Anderson, S. Pharr, S. Patrick, and A. Comiford. (2021). Development and implementation of an HPV vaccination survey for American Indians in Cherokee Nation. International Journal of Environmental Research and Public Health, 18(17):9239. doi: 10.3390/ijerph18179239. PMID: 34501823; PMCID: PMC8431656. 

33. O'Neal, C., Schroeder, L., Wells, A., Chen, S., McCoy, T., Glenn, C., Conner, A. (2021). Patient Outcomes in Disorders of Consciousness Following Transcranial Magnetic Stimulation: A Systematic Review and Meta-Analysis of Individual Patient Data. Frontiers in Neurology, 12:694970. doi: 10.3389/fneur.2021.694970. PMID: 34475848; PMCID: PMC8407074 

34. Gopalani, S., Janitz, A., Martinez, S., Campbell, J., and Chen, S. (2021). HPV Vaccine Initiation and Completion among Native Hawaiian and Pacific Islander Adults, United States, 2014. Asia Pacific Journal of Public Health, 35(5), 502-507

35. Yousefi, N., McLawhorn, J. M., Quinn, A., Stubblefield, A., Chen, S., Stasko, T., Collins, L. (2021). Communication Strategies in Mohs Micrographic Surgery: A Survey of Methods, Time Savings, and Perceived Patient Satisfaction. Cutis. 2021 May;107(05):249-252 | doi:10.12788/cutis.0255. 

36. Scarton, L., Hebert, L., Goins, T., Umans, J., Luohua, J., Comiford, A., Chen, S., White, A., Ritter, T., and Manson, S. M. (2021). Diabetes and health-related quality of life among American Indians: the role of psychosocial factors.

Quality of Life Research, 30(9):2497-2507. doi: 10.1007/s11136-021-02830-4. Epub 2021 Apr 10. PMID: 33837892; PMCID: PMC8658625

37. Arrese, N., Cooper, M., White, A., Chen, S., DeLeon,  S. (2021). Creating a Tool to Evaluate Interpretive Services on a Hospital System Level. Journal of Immigrant and Minority Health, 23(5):1116-1120 

38. Wu, H., Rhoades, D., Chen, S., and Brown, B. (2021). Native American Patients with Chronic Obstructive Pulmonary Disease Exacerbations in a Tertiary Academic Medical Center – A Pilot Study. International Journal of Chronic Obstructive Pulmonary Disease, 16:1163-1170 

39. Rozich, N. S., Lewis, S., Chen, S., Stewart, K. E., Dooley, W. C., Fischer, L. E., and Morris, K. T. (2021). Women survive longer than men undergoing cytoreductive surgery and HIPEC for appendiceal cancer. PLOS ONE, 16(4), e0250726 

40. Gaines, H., Jones, K., Lim, J., Medhi, N., Chen, S., and Scofield, R. H. (2021). Effect of CFTR modulator therapy on cystic fibrosis-related diabetes. Journal of Diabetes and Its Complications, 35(6):107845, https://doi.org/10.1016/j.jdiacomp.2020.107845 

41. LaGrow, A. L., Schatzman, S. N., Amayem, O. A., Bradford, R. H., Shah, V. A, Chen, S. and Lee, S. Y.. (2021). Endophthalmitis After Transconjunctival Pars Plana Vitrectomy: A 6-year Experience Without Intraoperative Subconjunctival Antibiotics. RETINA The Journal of Retinal and Vitreous Diseases, 41(3):531-537, PMID: 32826794, DOI: 10.1097/IAE.0000000000002905

42. Chakraborty, A. R.,  Almeida, N. C., Prather, K. Y., O’Neal, C. M., Wells, A. A., Chen, S., Conner, A. K. (2020). Resting State fMRI With Independent Component Analysis for Pre-Operative Seizure Onset Zone Localization for Epilepsy Surgery: A Systematic Review and Meta-Analysis. Epilepsia, 61(9), p.1958-1968, DOI: 10.1111/epi.16637 

43. Lander, D., Fagan, T., Chen, S., and Archer, A. (2020). Survey of Oklahoma Dental Professionals on detecting/reporting child abuse and neglect. The Journal of the Oklahoma Dental Association 

44. McLawhorn, J., Imtiaz, R., Jasterzbski, T., Stubblefield, A., Chen, S., Stasko, T., and Collins, L. (2020). Expert Opinion Regarding Appropriately Timing Dermatological Surgeries in Patients with Recent Myocardial Infarctions. Dermatologic Surgery, 46(12):1560-1563, DOI: 10.1097/dss.0000000000002462 PMID: 32604236  

45. Perkins, V., Moore, K., Vesely, S., Matsuo, K., Mostofizadeh, S., Sims, T., Lea, J., Barnes, D., Chen, S., Carlson, M., Roman, L., Monk, B., Holman, L. (2020). Incorporation of Whole Pelvic Radiation into Treatment of Stage IVB Cervical Cancer: A Novel Treatment Strategy. Gynecologic Oncology, 156(1):100-106

46. Clevenger, V., Jeffries, L., Effgen, S., Chen, S., Arnold, S. (2020). School-Based Physical Therapy Services: A Model to Predict the Gap between Ideal and Actual Embedded Services. Pediatric Physical Therapy, 32, 98-105  (The paper has been selected to win Jeanne Hughes Award. This award is given to the paper identified as the best paper published in the journal as a result of work completed while the first author is enrolled in an educational program)

47. D. Finneran, J. Heilmann, M. Moyle and S. Chen. (2020). An examination of cultural-linguistic influences on PPVT-4 performance in African American and Hispanic preschoolers from low-income communities. Clinical Linguistics & Phonetics, 34(3): 242-255. 

48. Lora, K., Branscum, P., Chen, S. and Wakefield, D. (2019). Home food environment factors associated with Hispanic preschoolers’ intake of fruits and vegetables. Family and Community Health, 42(4), 261-270

49. Syed, T., Bashir, M., Farooqui, S., Chen, S., Nusrat, S., Fazili, J. and Chen , A. (2019). Treatment Outcomes of Hepatitis C Infected Patients in Specialty Clinic vs. Primary Care Physician Clinic – A Comparative Analysis. Gastroenterology Research and Practice, 10, 1-7

50. Varshney, R., Murphy, B., Woolington, S., Ghafoory, S., Chen, S., Robison, T., and Ahamed, J. (2019).  Inactivation of platelet-derived TGF-β1 attenuates aortic stenosis progression in a robust murine model . Blood advances, 3, 777-788

51. Nusrat, S., Syed, T., Nusrat, S., Chen, S., Chen, W. J. and Bielefeldt, K. (2018). Assessment of pharmaceutical company and device manufacturer payments to gastroenterologists and their participation in clinical practice guideline panels. JAMA Network, 1(8):e186343. doi: 10.1001/jamanetworkopen.2018.6343. 

52. James, M., Elise, S., Chen, S., Bruce, C., Sarah, K., Amira, O. and Damon, V. (2019). The RICO Verdict and Corrective Statements: Catalysts for Policy Change? Tobacco Regulatory Science, 5, 206-228

53. Vidrine, D., Frank-Pearce, S., Vidrine, J., Tahay, P, Marani, S., Chen, S., Yuan, Y., Cantor, S. and Prokhorov, A. (2019). Efficacy of Mobile Phone–Delivered Smoking Cessation Interventions for Socioeconomically Disadvantaged Individuals, A Randomized Clinical Trial. JAMA Internal Medicine, 179(2), 167-174

54. Logan, S., Owen, D., Chen, S., Chen, W. J., Ungvari, Z., Farley, J., Csiszar, A., Sharpe, A., Loos, M., Koopmans, B., Richardson, A., and Sonntag, W. E. (2018). Simultaneous assessment of cognitive function, circadian rhythm, and spontaneous activity in aging mice. Geroscience, 40(2), 123-137 

55. K. R. Hansen, R. A. Wild, V. Baker, M. J. Hill, S. Chen, S. Talken, M. P. Diamond, R. S. Legro, C. Coutifaris, R. Alvero, R. D. Robinson, P. Casson, G. M. Christman, N. Santoro, E. Eisenberg, and H. Zhang. (2018). Midluteal Progesterone: A Marker of Treatment Outcomes in Couples With Unexplained Infertility. The Journal of Clinical Endocrinology & Metabolism, 103, 2743–2751  

56. A. Comiford, E. Garroutte, C. Barbosa-Leiker, S. Chen and M. McDonell. (2018). Prevalence and indicators of household smoking bans among American Indians. Journal of Community Health, 43(4), 746-755

57. Vidrine, D., Frank, S., Savin, M. Waters, A., Li, Y. and Chen, S. (2017). HIV Diagnosis and Disease Progression: A Teachable Moment for Smoking Cessation? Nicotine & Tobacco Research, 20(9), 1109-1116

58. Bashir, M. H., Madhoun, M. F., Kanagala, R., Chen, S., Nusrat, S. and Fazili, J. (2017). Impact of sustained virologic response on short-term clinical outcomes in patients with chronic hepatitis C-related cirrhosis.  European Journal of Gastroenterology, 30(3), 296-301

59. N. Ashpole, S. Logan, A. Yabluchanskiy, M. Mitschelen, H. Yan, E. Hodges, Z. Ungvari, A. Csiszar, J. Farley, S. Chen, C. Georgescu, Y. lkeno and W. Sonntag (2017). IGF-1 has sexually dimorphic, pleiotropic, and time-dependent effects on healthspan, pathology, and lifespan. GeroScience, 39(2), 129-145

60. X. Chen, J. Stoner, P. S. Montgomery, A. I. Casanegra, F. Silva-Palacios, S. Chen, A. E. Janitz, A W. Gardner. (2017). Prediction of 6-minute walk performance in patients with peripheral artery disease. Journal of Vascular Surgery, 66, 1202-1209.

61. C. Arriens, S. Chen, D. R. Karp, R. Saxena, K. Sambandam, E. Chakravarty, J. A. James and J. T. Merrill. (2017). Prognostic Significance of Repeat Biopsy in Lupus Nephritis: Histopathologic Worsening and a Short Time between Biopsies is Associated with Significantly Increased risk for End Stage Renal Disease and Death.  Clinical Immunology, 185, 3-9

62. J. Burks, A. Conner, R, Briggs, S. Chen, P. Bonney, C, Glenn, A. Cheema, N. Gross and T. Mapstone. (2017). Risk of Failure in Pediatric Ventriculo-Peritoneal Shunts Placed After Abdominal Surgery. Journal of Neurosurgery: Pediatrics. 19, 571-577.

63. B. Purkaple, J. Mold and S. Chen. (2016). Encouraging patient-centered care by including quality-of-life questions on pre-encounter forms. Annals of Family Medicine. 14, 221-226.

• Submitted papers:

1. M. Machiorlatti, S. Chen and S. Vesely. (2020). Heckman selection model with complex survey data. Revision invited by Statistics in Transition

2. S. Chen, C. Xu, and J. Cutler. (2023). Integrating probability and non-probability samples through deep learning based mass imputation. Under second review at Survey Methodology

3. G. Duininck, T. Coles, S. Chen, M. Buechel, C. Washington, J. Walker, T. Castellano. (2022). Comparison of two restrictive discharge post-operative opioid approaches following gynecologic surgery. Submitted

4. J. D. Matheny, A. H. White, J. D. Dvorak, S. Chen (2023). From Corrective Statements to Corrective Action: State and Local Lawmakers’ Attitudes on Tobacco Industry Interference in Public Policy. To be submitted to Tobacco Control 

5. A. E. Sedani, S. G. Frank-Pearce, S. Chen, J. D. Peck, A. F. Chou, J. E. Campbell, and L. A. Beebe. (2023). Impact of Quitline Services on Tobacco Cessation, Accounting for Selection Bias: An Application of Modern Epidemiological Methods. Under second review

6. Matheny, J., Chen, S., Waring, J., Frank-Pearce, S., and Kendzor, D. (2022). Impacts of Exposure to corrective statements and federal court findings among Adults making smoking cessation attempt. To be submitted soon

7. A. Blair, S. Chen, J. E. Campbell, A. Bailey, T. L. Wagener, and A. L. Comiford (2024). FDA E-Cigarette Flavor Restriction and the Impact on E-Cigarette Use Among Youth Within Cherokee Nation Reservation. Submitted 

8. D. H. Noyd, A. Bailey, A. Janitz, T. Razzaghi, S. Bouvette, W. Beasley, A. Baker, S. Chen, D. Bard (2023). Rurality, Cardiovascular Risk Factors, and Early Cardiovascular Disease among Childhood, Adolescent, and Young Adult Cancer Survivors. Submitted  

9. M. Ogunsanya, S. G. Frank-Pearce, S. Chen, M. Sifat, A. M. Cohn, M. S. Businelle, D. E. Kendzor. (2023). Predictors of tobacco cessation counseling and medication adherence among adults enrolled in a community-based tobacco cessation program. Submitted

10. E. Berg, S. Chen, and C. Yu. (2023). Combining Probability and Non-probability Samples Using Semi-parametric Quantile Regression and a Non-parametric Estimator of the Participation Probability. Submitted

11. K. Beg, S. Chen, M. Makoni, and O. Khan. (2023). Short Term Outcome of Neonatal Venous Thromboembolism in Anticoagulated versus Observed Patients. Revision invited

12. D. Lee and S. Chen. (2024). Data integration with nonprobability sample: semiparametric model-assisted approach. Submitted 

13. S. Chen and C. Xu. (2024). On a modified deep neural network based mass imputation for data integration. Revision invited by JSSAM 

14. M. S. Businelle, J. Becerra, C. Witten, S. Chen, K. Kezbers, L. A. Beebe, D. E. Kendzor (2024). Smartphone-based smoking cessation intervention (OKquit) for Oklahoma Tobacco Helpline Users: Protocol for a randomized controlled trial. Submitted

15. A. Comiford, S. Pan, and S. Chen. (2024). Respiratory Chronic Health Conditions and Racial Disparities Associated with E-Cigarette Use in Combined 2016–2021 BRFSS Data. To be submitted soon

16. J. N. Zhang, D. Haziza, and S. Chen. (2024). Robust Imputation in the presence of influential units in surveys. To be submitted soon

17. H. Willmott and S. Chen. (2024). The Association Between Marijuana Use and Myocardial Infarction, Asthma, and Depression in Racial and Sexual Minorities: BRFSS 2016-2022. To be submitted soon 

18. M. E. Ogunsanya, S. G. Frank-Pearce, S. Chen, M. S. Businelle, A. C. Alexander, L. K. Boozary, M. S. Sifat, D. W. Wetter, and D. E. Kendzor. (2024). The Impact of an incentive-based Smoking Cessation Intervention among minoritized and vulnerable adults. To be submitted soon

• Working papers:

1. S. Chen and J. K. Kim. (2020+). Handling nonignorable nonresponse by using semiparametric fractional imputation.

2. S. Chen and A. Stubblefield. (2020+). Sampling rare population for multi-stage designs.

3. S. Chen and D. Haziza. (2020+).  A unified pseudo population bootstrap approach for complex survey data.

4. S. Chen, D. Haziza, and Z. Mashreghi. (2020+). A unified framework on efficient multiply robust estimation and inference procedures.

5. D. Dunn, S. Chen, and A. Cohn (2021). Smoking behavior after chasing cannabis for tobacco research.  

6. S. Ehlke, A. Warren*, S. Chen, and A. Cohn. (2022). Tobacco use disparities among sexual and gender minority groups among young adults and adults from wave 5 of the population assessment of tobacco and health (PATH) study. 

7. H. Bokaie, K. Campbell, S. Chen, S. Talathi, M. A. Altaf (2022). EPIDEMIOLOGY OF GALLSTONE INDUCED PANCREATITIS IN CHILDREN IN OKLAHOMA AND EXPLORING ITS POSSIBLE RELATIONSHIP WITH INCREASED INCIDENCE OF OBESITY VS INCREASED AWARENESS. 

8. C. K. Ra, S. Frank-Pearce,  S. Chen, M. S. Businelle, D. E. Kendzor. (2022). The Relation between Insomnia Severity and Smoking Cessation Outcomes Among Adults Participating in Treatment: A longitudinal Study

9. L. K. Boozary*, S. Chen, M. Chen, A. C. Alexander, M. E. Ogunsanya, M. S. Sifat, J. A. Oliver, D. E. Kendzor (2023). Day-level discrimination decreases odds of smoking cessation during a contingency management cessation program: mixed modeling framework using ecological momentary assessment  

10. D. Walters, S. Chen, E. T. Hébert, Z. Pope, K. Kezbers, J. Gajos, and M. S. Businelle (2024). Relations between chronic conditions (mental and physical) and feeling tired are moderated by daily health behaviors 

• Non-refereed papers:

1. M. Kommareddi, G. Fazel, S. Chen, S. P. Wekenborg, S. V. Short, S. W. Shelden. (2023). Economic Impact of No-Shows at The Oklahoma College of Dentistry Student Program. Dental Economics magazine 

2. G. Kalton and S. Chen. (2014). Geographic oversampling for race/ethnicity using data from the 2010 U.S. population census. Joint Statistical Meeting Proceeding Paper

3. J. Li, S. Chen, T. Krenzke and L. Mohadjer. (2014). Replication variance estimation for balanced sampling: an application to the PIAAC study. Joint Statistical Meeting Proceeding Paper

4. T. Krenzke, K. Hubbell, M. Diallo, A. Gopinath and S. Chen. (2014). Data coarsening and swapping algorithms. Proceedings of the SAS Global Forum. 

5. S. Chen and T. Krenzke. (2013). Inference of domain parameters through an automatic adjustment of degrees of freedom. Proceedings of the 2013 Federal Committee on Statistical Methodology (FCSM) Research Conference.

PRESENTATIONS (Italic refers to students or mentees. * refers to presenters)

1. S. Chen, C. Xu, and J. Cutler (2022). Machine learning based mass imputation approaches for combining probability sample and nonprobability sample. Forthcoming at CSDA & EcoSta Workshop on Statistical Data Science, August, 2022 

2. S. Chen. and C. Xu. (2022). Handling missing data by using machine learning based methods. Department Seminar at OUHSC, (June 24th, 2022)

3. Denise Finneran, Sixia Chen, John Heilmann, and Maura Moyle (2022). Past Tense in Language Sample Analysis for African American English. Submitted to 2022 ASHA convention

4. Janis Campbell*, Motolani E. Ogunsanya, Nicole Holmes, Laura A. Beebe, Sixia Chen, Timothy VanWagoner, Judith James MD (2022). Using Social Network Analysis in (re)shaping a clinical and translational program. Submitted to american evaluation association conference 2022, November 11-12 in New Orleans 

5. James D. Matheny*, Sixia Chen, Joseph J. C. Waring, Summer G. Frank-Pearce, Darla E. Kendzor. (2022, March). IMPACTS of Exposure to CORRECTIVE STATEMENTS AND FEDERAL RICO Court FINDINGS ON SMOKING CESSATION. Poster accepted for 2022 National Conference on Tobacco or Health (NCTOH) June 28-30 in New Orleans

6. A. Milligan* and S. Chen (2022). Combining Probability and Nonprobability Samples by Using Latent Joint Multivariate Normal Model Mass Imputation.  Joint Statistical Meetings (Contributed Session), August, 2022, Washington DC

7. J. Leidner*, S. Chen, M. Middleton, C. Sirlin, W. Henderson, J. Dvorak, T. Ali, A. C Silva, J. G Umans, S. A Cole, Y. Zhang (2022). Developing Weighting Methodology for an Epidemiological Study Among American Indians: The Strong Heart Liver Study. Joint Statistical Meetings (Contributed Poster Presentations), August, 2022, Washington DC 

8. A. Stubblefield*, J. Stoner., and S. Chen. (2022). Oversampling of minority populations through dual-frame surveys. Joint Statistical Meetings (Topic Contributed Session),  August, 2022, Washington DC 

9. Chen, S.*, Xu, C., and Cutler, J. (2022). Machine learning based data integration methods. Joint Statistical Meetings (Topic Contributed Session),  August, 2022, Washington DC

10. Lee, D., Zhang, L. C., and Chen, S.* (2022). Multiple model-assisted approach to missing data in survey sampling: more than multiply robustness. 2022 BIRS 5-day workshop: Emerging Challenges for Statistics and Data Sciences: Complex Data with Missingness, Measurement Errors, and High Dimensionality (Invited speaker) at the UBC Okanagan, Canada, and Zoom in a hybrid manner 

11. A. Warren*, S. Chen, S. Ehlke, and A. Cohn. (2022). Tobacco use disparities among sexual and gender minority groups among young adults and adults from wave 5 of the population assessment of tobacco and health (PATH) study. Poster accepted for the annual meeting of the Society for Research on Nicotine and Tobacco, Baltimore, Maryland.

12. Dunn, D.S.*, Chen, S., Frank-Pearce, S., Mermelstein, R., Vandrey, R., Hedeker, D., Villanti, A., & Cohn, A.M. (2022, March). Associations of sensation-seeking and cannabis intoxication to daily “chasing” of cannabis with tobacco. Poster accepted for the annual meeting of the Society for Research on Nicotine and Tobacco, Baltimore, Maryland. 

13. S. Chen. and C. Xu. (2022). Handling missing data by using machine learning based methods. Statistical Society Canada conference (invited speaker).  Simon Fraser University, Canada. (June, 2022)

14. S. Chen., J. Campbell, and C. Snider. (2021). Improving the representativeness of Tribal BRFSS through novel data integration procedures. 2021 National Tribal Health Conference. 

15. J. Baldwin*., S. Chen., A. White, and L. Beebe. (2021). Comparing Data Quality Among Telephone, Web, and Mixed Modes for Shape Your Future Cross-Sectional Survey. AAPOR Annual Conference. 

16. S. Chen* and D. Haziza. (2021). General purpose multiply robust data integration procedure for combining probability and non-probability samples. AAPOR Annual Conference.

17. S. Chen*. and C. Xu. (2021). Handling high dimensional data with missing values by modern machine learning techniques. Statistics 2021 Canada (Invited session) (Forthcoming).  

18. S. Chen*. and D. Haziza. (2021). General-purpose multiply robust estimation procedure for handling missing data. Joint statistical meetings (Topic-Contributed session) (Forthcoming).

19. B. Gochanour*, S. Chen, L. Beebe and D. Haziza. (2021). Bayesian multiply robust estimation for casual inference. Joint statistical meetings (Speed-Poster session) (Forthcoming).

20. S. Chen, J. Cutler*, and C. Xu. (2021). Machine learning based data integration procedures for handling nonprobability sample. Joint statistical meetings (Speed-Poster session) (Forthcoming).

21. S. Chen, J. Campbell, E. Spain, A. Milligan*, and C. Snider. (2021). Improving the representativeness of Tribal BRFSS through data integration.  Joint statistical meetings (Speed-Poster session) (Forthcoming).

22. S. Chen, Y. Zhao, and C. Xu*. (2021). Linear quantile mixed models under informative cluster sampling. Joint statistical meetings (Speed-Poster session) (Forthcoming).

23. S. Chen., D. Haziza., and Z. Mashreghi*. (2021). A unified framework on efficient multiply robust estimation and inference procedures. Joint statistical meetings (Topic-Contributed session) (Forthcoming).

24. Y. Zhao*., S. Chen. and Y. Wang. (2021). Bayesian Jackknife Empirical Likelihood Based Inference for Missing Data and Causal Inference Problems. Sixth International Conference on Establishment Statistics (Topic contributed session). Virtual Conference.

25. S. Chen., D. Zhao, and C. Xu*. (2021). Linear quantile mixed models under informative cluster sampling. Sixth International Conference on Establishment Statistics (Topic contributed session). Virtual Conference.

26. S. Chen*, D. Haziza and V. Michal. (2021). Efficient multiply robust imputation procedures in the presence of influential units. Sixth International Conference on Establishment Statistics (Invited session). Virtual Conerence.

27. S. Chen*. (2021). Hudson College of Public Health (HCOPH) Shared Interest Research Seminars (SIRS) (Invited Speaker).  

28. S. Chen*. (2021). An introduction to Sampling Methods. Biostatistics and Epidemiology Student Association (BSESA) monthly meeting (February Invited Panel Speaker). 

29. S. Chen*. (2021). Principles of Epidemiology II: Observational Study Designs. OUHSC Radiation Oncology Conference (Invited Speaker). 

30. S. Chen*. and D. Haziza. (2020). General purpose multiply robust data integration procedure for combining probability and non-probability samples. Department Seminar Series (Invited) for Department of Mathematics and Statistics at Wright State University . Virtual seminar.

31. B. Gochanour*, S. Chen., L. Beebe. and D. Haziza. (2020).  A Nonparametric Multiply Robust Multiple Imputation Method for Causal Inference. Joint statistical meetings (Contributed Poster session). Virtual conference. 

32. C. Xu.* and S. Chen. (2020). Missing Data Analysis Using Machine Learning.  Joint statistical meetings (Topic Contributed session). Virtual conference. 

33. Y. Zhao* and S. Chen and Y. Wang. (2020). Bayesian Jackknife Empirical Likelihood Based Inference for Missing Data and Causal Inference Problems. Joint statistical meetings (Topic Contributed session). Virtual conference. 

34. A. Chen*, S. Chen and D. Zhao. (2020). Generating Fully-Synthetic Discrete Data. Joint statistical meetings (Contributed Poster session). Virtual conference. 

35. M. Machiorlatti* and S. Chen. (2020).  Robust Estimation of Heckman Correction in Complex Sampling Design. Joint statistical meetings (Contributed Poster session). Virtual conference. 

36. S. Chen*, D. Haziza and V. Michal. (2020). Efficient multiply robust imputation procedures in the presence of influential units. Joint statistical meetings (Invited session). Virtual conference.

37. S. Chen*, S. Yang and J. Kim. (2020). Nonparametric mass imputation for data integration. University of Tennessee Health Science Center (UTHSC)'s Biostatistics Seminar Series (Invited). Virtual seminar. 

38. A. Stubblefield*, S. Chen. and J. Stoner. (2019).  Oversampling Minority Populations in a Dual-Frame Telephone Survey. Joint statistical meetings (Contributed Speed Presentations). Denver, U.S.A.

39. A. Chen*, S. Chen and Y. Zhao. (2019). Statistical Disclosure Control with Machine Learning. Joint statistical meetings (Contributed Poster Presentations). Denver, U.S.A. (My PhD student A. Chen won the best poster competition award)

40. S. Chen*, S, Yang and J. K. Kim (2019). Nonparametric mass imputation for data integration. Joint statistical meetings (Topic contributed session). Denver, U.S.A.

41. S. Chen and D. Haziza* (2019). A general-purpose multiply robust estimation approach for handling missing values with survey data. Joint statistical meetings (Topic contributed session). Denver, U.S.A.

42. S. Chen*, S, Yang and J. K. Kim (2019). Nonparametric mass imputation for data integration. International Chinese Statistical Association 2019 Applied Statistics Symposium (invited session). Raleigh, NC, U.S.A.

43. S. Chen* and D. Haziza (2018). A unified pseudo population bootstrap approach for complex survey data. Georgia State University department seminar (Invited). Atlanta, GA.

44. S. Chen* and D. Haziza (2018). Pseudo-population bootstrap procedures for multi-stage sampling designs. Joint statistical meetings (Invited session). Vancouver, Canada.

45. S. Chen* and D. Zhao (2018). Quantile regression analysis of survey data under informative sampling. Statistical Society Canada conference (invited speaker).  McGill University, Canada.

46. S. Chen* and D. Haziza (2018). Recent development of multiple robust estimation with complex survey data. CRM-CANSSI Workshop for Statistical Inference for complex surveys (Invited speaker). University of Montreal, Canada.

47. S. Chen* and D. Zhao (2018). Quantile regression analysis of survey data under informative sampling. Iowa State University Survey Working Group Seminar (invited speaker). Ames, IA.

48. S. Chen*, D. Haziza, C. Leger and Z. Mashreghi. (2018). Pseudo-population bootstrap methods for imputed survey data. Iowa State University department seminar (invited). Ames, IA.

49. S. Chen*, D. Haziza, C. Leger and Z. Mashreghi. (2018). Pseudo-population bootstrap methods for imputed survey data. University of Oklahoma Health Science Center department seminar. Oklahoma City, OK.

50. S. Chen* and D. Haziza (2017). Multiply Robust Nonparametric Multiple Imputation for the Treatment of Missing Data. Joint statistical meetings (topic contributed session). Baltimore, MD, U.S.A.

51. M. Machiorlatti*, S. Chen and S. Vesely (2017). The Heckman Selection Model with Complex Survey Data. Contributed poster session named Survey Research Methods Section at Joint Statistical Meeting, July 29, 2017-August 3, 2017, Baltimore, MD, USA. (My PhD student M. Machiorlatti won the best poster competition award)

52. S. Chen* and J. Kim. (2016). Semi-parametric fractional imputation using empirical likelihood in survey sampling. Joint statistical meetings (topic contributed session). Chicago, IL, U.S.A.

53. S. Chen* and D. Haziza. (2016). Multiply robust imputation procedures for the treatment of item nonresponse in surveys. International Chinese Statistical Association 2016 Applied Statistics Symposium (invited session). Atlanta, GA, U.S.A.

54. S. Chen* and G. Kalton. (2014). Geographic oversampling for race/ethnicity using data from the 2010 U.S. population census. Joint statistical meetings (topic contributed session). Boston, MA, U.S.A.

55. V. Hsu*, S. Chen, T. Krenzke and L. Mohadjer. (2014). Evaluation of sample designs using results from the programme for the international assessment of adult competencies. Joint statistical meetings (topic contributed session). Boston, MA. U.S.A.

56. J. Li*, S. Chen, T. Krenzke and L. Mohadjer. (2014). Replication variance estimation for balanced sampling: an application to the PIAAC study. Joint statistical meetings (topic contributed session). Boston, MA, U.S.A.

57. S. Chen*. (2014). A unified jackknife empirical likelihood based inference with regression imputation, propensity score weighting for missing data. Frontiers of hierarchical modeling in observational studies, complex surveys and big data: a conference honoring professor Malay Ghosh. College Park, MD.

58. S. Chen* and T. Krenzke. (2013). Inference of domain parameter by using dynamic jackknife variance estimator. 2013 Federal Committee on Statistical Methodology (FCSM). Washington DC.

59. S. Chen*. (2013). Jackknife empirical likelihood method for inference with regression imputation. 2013 Graybill Conference (poster session). Fort Collins, CO, USA.

60. S. Chen*. (2012). Jackknife empirical likelihood method for inference with imputed data. Joint statistical meetings (topic contributed session). Sandiego, CA, USA.

61. J. K. Kim* and S. Chen. (2012). Two-phase sampling approach for propensity score estimation in voluntary sampling. Field Symposium in honor of J. N. K. Rao’s 75th birthday, Carleton University, Ottawa, Canada.

62. S. Chen* and J. K. Kim. (2011). Population empirical likelihood for nonparametric inference in survey sampling. International Chinese Statistical Association 2011 Applied Statistics Symposium (Invited session). New York City, USA.

63. S. Chen* and J. K. Kim. (2010). Generalized empirical likelihood method in missing data problem. Joint statistical meetings (topic contributed session). Vancouver, British Columbia, Canada.

PROFESSIONAL SERVICE

• Reviewer of the conference abstracts:

1. The Society for Research on Nicotine & Tobacco (SRNT)  

• Scientific Program Committee

1. Statistics 2021 Canada: 6th Decennial Canadian Conference in Applied Statistics

• Organizer/Chair of the conference/workshop sessions:

1. Moderator of "Leveraging Auxilliary Frame Data to Improve Survey Quality" at 2023 AAPOR Webinar 

2. Organizer of "Modern techniques in robust estimation for handling outliers and influence units" at 2023 Joint Statistical Meeting (Invited paper session) 

3. Chair of "Advanced Methods of Using AuxiliaryInformation to Improve Inferences ofPopulation Quantities" at 2023 Joint Statistical Meeting (Invited paper session) 

4. Organizer and Chair of Oklahoma Chapter American Statistical Association online summer short course "Navigating Tough Conversations in Statistical Collaboration". 2023 Virtual Short Course   

5. Organizer and Chair of OSCTR Novel methodology unit workshop "Power Analysis and Sample Size Estimation". 2022 Virtual/In-person Workshop    

6. Organizer and Chair of Oklahoma Chapter American Statistical Association online summer short course "Adaptive Design". 2022 Virtual Short Course   

7. Organizer and Chair of OSCTR Novel methodology unit workshop "Multiplicity Adjustment in Design and Analysis of Clinical Trials". 2021 Virtual Workshop    

8. Organizer and Chair of Oklahoma Chapter American Statistical Association online summer short course "Guidelines for Using State-of-the-Art Methods to Estimate Propensity Score and Inverse Probability of Treatment Weights When Drawing Causal Inferences". 2021 Virtual Short Course   

9. Organizer of "Some new innovations in survey sampling and missing data problems" at 2021 Joint Statistical Meeting (Topic-Contributed paper session)

10. Organizer and Chair of "New developments in survey sampling and missing data problems" Statistics 2021 Canada (Invited session), Virtual conference

11. Organizer and Chair of Oklahoma Chapter American Statistical Association online summer short course "Empowering with Spark, Machine Learning and Deep Learning". 2020 Virtual Short Course 

12. Organizer and Chair of "Modern techniques in handling missing data with challenging data structures including big and small data files " at 2020 Joint Statistical Meeting (Topic-Contributed paper session), Virtual Conference

13. Organizer and Chair of "’Advanced imputation techniques for handling missing data" at 2021 International Conference on Establishment Statistics (ICES VI) (Topic-Contributed paper session),  Virtual conference 

14. Organizer of "Inference with non-probability sample through data integration" at 2019 Joint Statistical Meeting (Topic-Contributed paper session), Denver, CO, U.S.A.

15. Organizer and Chair of "Recent development in missing data and survey sampling problems" at 2019 International Chinese Statistical Association (ICSA) conference (Invited session), Raleigh, NC, USA.

16. Chair of "Causal inference and missing data analysis: identification and estimation" at 2019 International Chinese Statistical Association (ICSA) conference (Invited session), Raleigh, NC, USA.

17. Organizer of "New Development on Missing Data Problems" at 2016 International Chinese Statistical Association (ICSA) conference (Invited session), Atlanta, GA, USA.

• Organizer/Chair of the following Journal Clubs:

1. BSE department Biostatistics Journal Club

2. Survey working group

• Grant reviewer:

1. The Natural Sciences and Engineering Research Council of Canada (NSERC) 

2. The European Science Foundation 

3. NIH Biostatistical Methods and Research Design (BMRD) Study Section (Declined due to Covid-19)

4. Southern Plains Tribal Health Board/ Oklahoma Area Tribal Epidemiology Center Good Health and Wellness Sub-Award 

5. NIH Genetics of Health and Disease (GHD) study section 

6. Reviewer for the Patient-Centered Outcomes Research Institute (PCORI) 

• Editorial Board Service:

Associate Editor, Journal of the Korean Statistical Society (JKSS), 1/2018-Current

Associate Editor,  Scandinavian Journal of Statistics (SJS), 4/2019-Current

Associate Editor, Journal of Survey Statistics and Methodology  (JSSAM), 7/2019-Current 

Associate Editor, Survey Methodology, 2021-Current

Guest Editor, International Journal of Environmental Research and Public Health , Special Issue on "Innovative Statistical Analysis in Public Health ", 2022-2023

Guest Editor, Mathematics, Special Issue on "New Advances in Statistics and Econometrics", 2023-2024

• OUHSC service:

Faculty Board Chair, 2023-2024

Ad hoc tenure review committee for Health Promotion Sciences, 9/2023-present

Academic Programs Council (APC) committee member (representing College of Public Health),  8/2018-10/2020

College awards committee (representing department of biostatistics and epidemiology), 3/2019-4/2020

College of Public Health APC committee member (representing department of biostatistics and epidemiology), 8/2017-7/2020

Provisional position on the Academic Appeals Board at OUHSC, 4/2019-5/2020

Provisional position, 2019-2022

Bylaws Committee, 2021-2023

Biostatistics admissions committee at OUHSC, 7/2019-8/2022

OUHSC Research and Graduate Student Affairs Committee, 1/2021-Current

• American Statistical Association (ASA) service:

Vice President of American Statistical Association (ASA) Oklahoma Chapter, 2018-2020

President of American Statistical Association (ASA) Oklahoma Chapter, 2020-2021

Council of Chapters Representative, 2020-2023

MENTORING EXPERIENCE

• PhD students:

1. Nivedita selvaraj (PhD in Biostatistics, Advisor, ongoing)

2. Hanxia Li (PhD in Biostatistics, Advisor, ongoing)

3. Michael Machiorlatti  (PhD in Biostatistics, Co-Advisor with Dr. Sara Vesely, Research Topic: Missing data analysis and inference with complex survey data, Graduated in Jan 2020, Now he is Assistant Professor at Biostatistics at The University of Texas Rio Grande Valley. Michael won Paul S. Anderson Outstanding Student in Biostatistics Award. OU Hudson College of Public Health Departmental Outstanding Student)

4. Allshine Chen (PhD in Biostatistics, Co-Advisor with Dr. Daniel Zhao, Research Topic: Statistical Disclosure Control, Graduated in July 2020, Now he is biostatistics manager at Pfizer)

5. Jonathan Baldwin (PhD in Biostatistics, Co-Advisor with Dr. Kai Ding, Research Topic: Machine learning based causal inference, Graduated in May 2024). (Jonathan won 2021 Advisory Board Scholarship in Hudson College of Public Health)

6. Justin Dvorak (PhD in Biostatistics, Committee Member)

7. Sameer V. Gopalani (PhD in Epidemiology, Committee Member)

8. Yuke Wang (PhD in Statistics, Committee Member, Georgia State University)

9. Ami Sedani (PhD in Epidemiology, Mentor for the projects)

10. Gledius Kola (PhD in Biostatistics, Committe Member)

• DrPH students:

1. Sheila Kelley (DrPH, Committee Member)

• Master students:

1. Alexander Stubblefield (Master in Biostatistics, Advisor, Research Topic: Oversampling minority population and imputation method, Graduated in May 2019, Now he is PhD candidate at Department of Economics at Michigan State University, Alex won OUHSC Outstanding Master’s Thesis Award)

2. Ben Gochanour (Master in Biostatistics, Advisor, Research Topic: Multiply robust estimation in casual inference, Graduated in May 2021, Now he is PhD candidate at Department of Biostatistics at University of Minnesota, Ben won the following three awards: 1. OUHSC Outstanding Master Thesis Award of the year in 2022, 2. OUHSC outstanding biostat student of the year in 2021, and 3. 2021 Robert M Bird Society Award)

3. Alexandra Milligan (Master in Biostatistics, Advisor, Research Topic: Improving the representativeness of TBRFSS by mordern data integration approaches. Graduated in August 2023) 

4. Steven Pan (Master in Biostatistics, Advisor, Graduated in May 2023)

5. Gideon Hallum (Master in Biostatistics, Committee Member, Graduated in July 2023)

6. Allison Wells (Master in Biostatistics, Committee Member, Graduated in May 2021)

7. Mark Camardo (Master in Biostatistics, Committee Member, Graduated in 2018)

8. Xi Chen (Master in Biostatistics, Committee Member, Graduated in 2016)

9. Zoona Sarwar (Master in Epidemiology, Committee Member, Graduated in 2017)

10. Ozair Naqvi (Master in Epidemiology, Committee Member, Graduated in 2018)

11. Donna Tyungu (Master in Pediatrics, Committee Member)

12. Midhun Malla (Master in Clinical and Translational Science, Graduated in June 2019)

• MPH students:

1. Bunmilola Oyeleye (MPH in Epidemiology, Advisor)

2. Richard J Seeberger (MPH in Epidemiology, Committee Member)

3. April Lopez (MPH in Biostatistics, Advisor, April was selected as the receipient of the Roy B. Deal, Jr. Scholarship in for the 2022-2023 academic year)

4. Muneeb Amin (MPH in Biostatistics, Advisor)

5. Deepa Ganesan (2021-2022, MPH in Epidemiology, Advisor, Deepa has been selected as Merit GRA)

6. Marco Rayos (MPH in Epidemiology, Advisor, Marco was selected as the receipient of the Hudson Family Scholarship for the 2022-23 academic year)

7. Anna Bailey (MPH in Biostatistics, Committee Member, Expected gratuation in 2023)

8. Adam Warren (MPH in Biostatistics, Advisor, Graduated in 2022)

9. Olivia Medaris (MPH in Epidemiology, Advisor)

10. Michael Garbe (MPH in Epidemiology, Committee Member, Graduated in 2018)

• OSCTR Translating Practice into Research Program fellows:

1. Hibah Awwad (Faculty, Pharmaceutical Sciences)

2.  Sudarshan Seshadri (Resident, Microbiology & Immunology) 

3. Katerine Ntourou (Faculty, Communication Sci & Disorders)

4. Mary Hudson (Faculty, Communication Sci & Disorders) 

5. Yacoub AI Sakka (Faculty, Restorative Sciences) 

6. Suhair Jambi (Faculty, Restorative Sciences)

7. Sun Young Lee (Assistant Professor, Department of Ophthalmology)

8. Wanda Robinson (Assistant Professor, College of Nursing)

9. Helen Milojevich (Assistant Professor, Department of Pediatrics)

10. Anna Nguyen (Assistant Professor, College of Nursing)

11. Jaewon Kim (Clinical Assistant Professor, OUHSC College of Dentistry Division of Periodontics)

12. Mark Newpower (Assistant Professor, OU College of Medicine, Department of Radiation Oncology )

REVIEWERS FOR JOURNALS 

• Annals of Statistics

• PLOS ONE

• Australian and New Zealand Journal of Statistics 

• Public Opinion Quarterly

• Statistics and Its interface 

• Journal of Applied Statistics

• Journal of Official Statistics 

• Journal of the American Statistical Association  

• Journal of Nonparametric Statistics

• Journal of Korean Statistical Society 

• Journal of Multivariate Analysis 

• Journal of Business & Economic Statistics

• Journal of the Royal Statistical Society Series C 

• Journal of Causal Inference 

• Journal of Statistical Computation and Simulation

• Journal of Computational and Graphical Statistics

• Biometrika

• Biometrics 

• Statistica Sinica 

• Statistics in Medicine

• Hacettepe Journal of Mathematics and Statistics 

• Statistics in Biopharmaceutical Research 

• Survey Methodology 

• Annals of Applied Statistics 

• Canadian Journal of Statistics 

• Journal of Survey Statistics and Methodology 

• Environmental and Ecological Statistics 

• Scandinavian Journal of Statistics 

• Computational Statistics and Data Analysis 

• Annals of the Institute of Statistical Mathematics 

• Journal of Statistical Planning and Inference 

• Transactions on Knowledge and Data Engineering

• Calcutta Statistical Association Bulletin

• Statistical Papers

• Journal of the Italian Statistical Society-Statistical Methods & Applications

• AStA Advances in Statistical Analysis

• Statistical Methods in Medical Research

• Stat

• Journal of Machine Learning Research

• Obesity

• American Journal of Preventive Medicine