Publications

Research Interests


Publications


Big Data Methodology


[1] Fan, Y., Kong, Y., Li, D. & Zheng, Z. (2015). Innovated interaction screening for high-dimensional nonlinear classification. Annals of Statistics 43, 1243–1272. [PDF] [Supplementary Material] [R Code] [Real Data Set]


[2] Kong, Y., Zheng, Z. & Lv, J. (2016). The constrained Dantzig selector with enhanced consistency. Journal of Machine Learning Research 17, 1-22. [PDF] [Matlab Code] [Real Data Set]


[3] Kong, Y., Li, D., Fan, Y. & Lv, J. (2017). Interaction pursuit in high-dimensional multi-response regression via distance correlation. Annals of Statistics 45, 897-922. [PDF] [Supplementary Material] [R Code] [Real Data Set]


[4] Zheng, Z., Zhang, J., Kong, Y. & Wu, Y. (2018) Scalable Inference for Massive Data. Procedia Computer Science 129, 81-87. [PDF]


[5] Xie, G., Dong, C., Kong, Y., Zhong, J., Li, M., & Wang, K. (2019) Group Lasso Regularized Deep Learning for Cancer Prognosis from Multi-Omics and Clinical Features. Genes 10, 240. [PDF]


[6] Kong, Y., Li, Y., & Zerom, D. (2019) Screening and Selection for Quantile Regression using an Alternative Measure of Variable Importance. Journal of Multivariate Analysis 173, 435-455. [PDF] [R Code] [Real Data Set]


[7] Tang, C.-Y., Fan, Y. & Kong, Y. (2020) Precision matrix estimation by inverse principal orthogonal decomposition. Communications in Mathematical Research 36, 68-92. [PDF]


[8] Zheng, Z., Li, L., Zhou, J. & Kong, Y. (2020) Innovated Scalable Dynamic Learning for Graphical Models. Statistics and Probability Letters 165, 108843. [PDF]


[9] Nie, K., Kong, Y., Yuan, T. & Berry, P. (2020) Dealing With Ratio Metrics in A/B Testing at the Presence of Intra-User Correlation and Segments. 21st International Conference on Web Information Systems Engineering (WISE 2020). [PDF] [R code]


[10] Zhu, Z., Fan, Y., Kong, Y., Lv, J. and Sun, F. (2021). DeepLINK: deep learning inference using knockoffs with applications to genomics. Proceedings of the National Academy of Sciences of the United States of America (P. N. A. S.), 118 (36) e2104683118. [PDF] [Python code]


[11] Kong, Y., Zhou, J., Zheng, Z., Amaro, H., & Guerrero, E. (2021) Using Machine Learning to Advance Disparities Research: Subgroup Analyses in Access to Opioid Treatment. Health Services Research 1-11. [PDF] [R code]


[12] Li, D., Kong, Y., Fan, Y. & Lv, J. (2022) High-Dimensional Interaction Detection with False Sign Rate Control. Journal of Business and Economic Statistics 40 (3), 1234-1245. [PDF] [R & Matlab code] [Real Data Set]


[13] Feng, S., Kong, K., Kong, Y., Li, G., Wang, Z. (2022) Statistical inference of heterogeneous treatment effect based on single-index model. Computational Statistics and Data Analysis 175, 107554. [PDF]


[14] Yuan, P., Kong, Y., Li, G. (2023) FDR Control and Power Analysis for High-dimensional Logistic Regression via StabKoff. Statistical Papers, 1-31. [PDF]


[15] Li, D., Kong, Y., Zerom, D. (2024) Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension. Journal of Nonparametric Statistics, 1–21. [PDF] [R code]



Health Equality


[1] Guerrero, E., Khachikian, T., Kim, T., Kong, Y. & Vega, W. (2013). Spanish Language Proficiency among Providers and Latino Clients’ Engagement in Substance Abuse Treatment. Addictive Behaviors 38, 2893–2897.


[2] Guerrero, E., Villatoro, J., Kong, Y., Fleiz, C., Vega, W. & Medina-Mora, M. (2014). Mexicans illicit drug use in an era of drug reform: A national comparative analysis based on migration status. International Journal of Drug Policy 25, 451–457.


[3] Guerrero, E., Villatoro, J., Kong, Y., Fleiz, C., Vega, W. A., Strathdee, S. & Medina-Mora, M. (2014) Barriers to accessing substance abuse treatment in Mexico: national comparative analysis by migration status. Substance abuse treatment, prevention, and policy. 9:30.


[4] Frimpong, J., Guerrero, E., Kong, Y. & Tsai, G. (2015) Correlates of HIV Testing and Receipt of Test Results in Addiction Health Services in Los Angeles County. Substance Abuse Treatment, Prevention, and Policy. 10:31.


[5] Guerrero, E., Padwa, H., Lengnick-Hall, R., Kong, Y. & Perrigo, J. (2015) Leadership and Licensure for Drug Treatment and the Implementation of Co-Occurring Disorder Treatment in Community Mental Health Centers. Community Mental Health Journal 51, 554-566.


[6] Guerrero, E., Fenwick, K., Kong, Y., Grella, C. & D’Aunno, T. (2015) Paths to improving engagement among racial and ethnic minorities in addiction health services. Substance abuse treatment, prevention, and policy. 10:40.


[7] Guerrero, E., Andrews, C., Harris, L., Padwa, H., Kong, Y. & Fenwick, K. (2015) Improving Coordination of Addiction Health Services Organizations with Mental Health and Public Health Services. Journal of Substance Abuse Treatment 60, 45-53.


[8] Frimpong, J., Guerrero, E., Kong, Y. & Kim, T. (2016) Abstinence at Successful Discharge in Publicly Funded Addiction Health Services. Journal of Behavioral Health Services & Research 43, 661–675.


[9] Guerrero, E., Garner, B., Cook, B, Kong, Y., Vega, W. & Gelberg, L. (2017) Identifying and reducing disparities in successful addiction treatment completion: testing the role of Medicaid payment acceptance, Substance abuse treatment, prevention, and policy 12: 27.


[10] Guerrero, E. Garner, B., Cook, B. & Kong, Y. (2017) Does the Implementation of Evidence-Based and Culturally Competent Practices Reduce Disparities in Addiction Treatment Outcomes? Addictive Behaviors 73, 119-123.


[11] Guerrero, E. Fenwick, K., & Kong, Y. (2017) Advancing theory development: exploring the leadership–climate relationship as a mechanism of the implementation of cultural competence. Implementation Science 12:133.


[12] Guerrero, E., Song, A., Henwood, B., Kong, Y., & Kim, T. (2018) Response to culturally competent drug treatment among homeless persons with different living arrangements. Evaluation and Program Planning 66, 63-69.


[13] Guerrero, E, Garner, B, Cook, B, Kong, Y. & Vega, W (2018) The Temporal Relationship between Medicaid Payment Acceptance and the Implementation of Medication Assisted Drug Treatment. Substance Abuse: Research and Treatment 12, 1-5.


[14] Guerrero, E., Frimpong, J., Kong, Y., Fenwick, K., & Aarons, G. (2018) Advancing Theory on the Multilevel Role of Leadership in the Implementation of Evidence-Based Health Care Practices. Health Care Management Review, doi: 10.1097/HMR.0000000000000213.


[15] Guerrero, E., Khachikian, T., Frimpong, J., Kong, Y., Howard, D., & Hunter, S. (2019) Drivers of Continued Implementation of Cultural Competence in Substance Use Disorder Treatment. Journal of Substance Abuse Treatment 105, 5-11.


[16] Guerrero, E., Ober, A., Howard, D., Khachikian, T., Kong, Y., et al. (2020) Organizational Factors Associated with Practitioners’ Support for Treatment of Opioid Use Disorder in the Emergency Department. Addictive Behaviors 102, 106197.


[17] Marsh, J.C., Amaro, H., Kong, Y., Khachikian, T., Guerrero, E. (2021). Gender Disparities in Access and Retention in Methadone Treatment for Opioid Use Disorder Low-income Urban Communities, Journal of Substance Abuse Treatment 127, 108399.


[18] Guerrero, E., Amaro, H., Kong, Y., Khachikian, T., Marsh, J.C. (2021) Gender disparities in opioid treatment progress in methadone versus counseling. Substance Abuse Treatment, Prevention, and Policy 16 (1), 1-10.


[19] Khachikian, T., Amaro, H., Guerrero, E., Kong, Y., Marsh, J.C. (2022) Disparities in Opioid Treatment Access and Retention Among Women Based on Pregnancy Status from 2006 to 2017. Drug and Alcohol Dependence Reports, accepted.


[20] Alibrahim, A., Marsh, J., Amaro, H., Kong, Y., Khachikian, T., Guerrero, E. (2022) Disparities in Expected Driving Time to Opioid Treatment and Treatment Completion: Findings from an Exploratory Study. BMC Health Services Research 22:478.


[21] Guerrero, E., Kong, Y. , Frimpong, J., Khachikian, T., Wang, S., D’Aunno, T., Howard, D. (2022) Workforce Diversity and disparities in wait time and retention among opioid treatment programs. Substance Abuse Treatment, Prevention, and Policy 17, 1-9.


[22] Frimpong, J., Guerrero, E., Kong, Y., Khachikian, T., Wang, S., D'Aunno, T., Howard, D. (2023) Predicting and responding to change: Perceived environmental uncertainty among substance use disorder treatment programs. Journal of Substance Use and Addiction Treatment 208947.


[23] Amaro, H., Kong, Y, Marsh, J., Khachikian, T., Guerrero, E. (2023) Identifying Gender Differences in Risk Profiles and in Opioid Treatment Outcomes in Los Angeles County. Evaluation and Program Planning, 102240.


[24] Zhao, Q., Kong, Y., Henderson, D., Parrish, D. (2023) Arrest Histories and Co-Occurring Mental Health and Substance Use Disorders Among Women in the USA. International Journal of Mental Health and Addiction, 1-19


[25] Guerrero, E., Amaro, H., Kong, Y., Khachikian, T., Marsh, J. (2023) Understanding the role of financial capacity in the delivery of opioid use disorder treatment. BMC Health Services Research 23 (1), 166


[26] Guerrero, E., Amaro, H., Kong, Y., Khachikian, T., Marsh, J. (2023) Exploring Gender and Ethnoracial Differences and Trends in Methamphetamine Treatment. Substance Abuse: Research and Treatment 17, 11782218231180043


[27] Harris, L., Marsh, J. Khachikian, T., Serrett, V., Kong, Y., Guerrero, E. (2023) What can we learn from COVID-19 to improve opioid treatment? Expert providers respond. Journal of Substance Use and Addiction Treatment, 209157



Genetics


[1] Rand, K., et al. (2016) A meta-analysis of multiple myeloma risk regions in African and European ancestry populations identifies putatively functional loci. Cancer Epidemiology, Biomarkers & Prevention 25, 1609-18.


[2] Piras, IS, Brokaw, D, Kong, Y., et al. (2023) Integrated DNA methylation/RNA profiling in middle temporal gyrus of Alzheimer’s disease. Cellular and Molecular Neurobiology, 1-19


[3] Berndt, SI, et al (2023) Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes. Leukemia 37, 2142-2142.



Book Chapter


[1] Li, D., Kong, Y., Zheng, Z. & Pan, J. (2022) Recent Advances in Big Data Analytics. The Palgrave Handbook of Operations Research, 805.


[2] Guerrero, E., Khachikian, T., Kong, Y. & Vega, W. (2015) Achieving Sobriety among Latino Older Adults, Challenges of Latino Aging in the Americas, Springer.



Referee services:


Annals of Statistics

Journal of American Statistical Association

Biometrika

Statistica Sinica

Biometrics

Bioinformatics

Journal of Computational and Graphical Statistics

Journal of Multivariate Analysis

Statistics in Medicine

Statistics and Computing

Scandinavian Journal of Statistics

Statistics and Probability Letters

Annals of the Institute of Statistical Mathematics

Communications in Statistics – Theory and Methods

Computational Statistics

Journal of Classification

Health Services Research

BMC Health Services Research

Artificial Intelligence in Medicine

Clinical Epidemiology

Psychiatry Research

Children and Youth Services Review

Genes


Miscellaneous

Top statistics journals:

http://blog.sciencenet.cn/blog-752541-854755.html

Much more reasonable than those rankings by impact factor