Presentations

Presentations

2025 Schedule/TBA

1. Nguyen DV. TBA.  8th International Conference on Econometrics and Statistics (EcoSta), Waseda University, Tokyo, Japan, Aug 2025.

2. Senturk D. TBA. Joint Statistical Meetings, American Statistical Association, Nashville, Aug 2025.

3. Nguyen DV. TBA.  Joint Statistical Meetings, American Statistical Association, Nashville, Aug 2025.

4. Nguyen DV. TBA. WNAR/IMS Western North American Regional Meeting of the International Biometrics Society Annual Meeting, Whitsler, BC, Canada, June 2024.

5. Kurum E. TBA. ENAR/IMS Eastern North American Regional Meeting of the International Biometrics Society Annual, New Orleans, LA, March 2025.

6. Qian Q. Multivariate spatiotemporal functional principal component analysis. Orange County Chapter of the American Statistical Association, 2025 Biostatistics Symposium, Irvine, CA, February 2025. (Poster presentation)

2024

7. Kurum E. Spatiotemporal multilevel time-varying joint modeling of hospitalization and survival in patients on dialysis. Joint Statistical Meetings, American Statistical Association, Portland, OR, August 2024.

8. Senturk D. Multivariate varying coefficient spatiotemporal model of hospitalization and mortality in the ESKD population. Joint Statistical Meetings, American Statistical Association, Portland, OR, August 2024.

9.  Qian Q. A Bayesian multivariate model of longitudinal kidney disease progression, recurrent cardiovascular event and competing risks. Joint Statistical Meetings, American Statistical Association, Portland, Aug 2024.

10. Nguyen DV.  A Bayesian trivariate joint model of longitudinal kidney disease progression, recurrent cardiovascular events, and terminal event in chronic kidney disease. Joint Statistical Meetings, American Statistical Association, Portland, OR, August 2024.

11. Nguyen DV.  A Bayesian trivariate joint model of longitudinal kidney disease progression, recurrent cardiovascular events, and terminal event in chronic kidney disease. 7th International Conference on Econometrics and Statistics (EcoSta), Beijing Normal University, China, July 2023.

12. Qian Q. A Bayesian multivariate model of longitudinal kidney disease progression, recurrent cardiovascular event and competing risks. 7th International Conference on Econometrics and Statistics (EcoSta), Beijing Normal University, China, July 2024.

13. Kurum E. Spatiotemporal Multilevel Joint Modeling of Longitudinal and Survival Outcomes in End-Stage Kidney Disease. 7th International Conference on Econometrics and Statistics (EcoSta), Beijing Normal University, China, July 2024.

14. Senturk D. Multivariate varying coefficient spatiotemporal model. 7th International Conference on Econometrics and Statistics (EcoSta), Beijing Normal University, China, July 2024.

15. Kurum E. A Bayesian joint model of kidney disease progression, recurrent cardiovascular events, and terminal event. WNAR/IMS Western North American Regional Meeting of the International Biometrics Society Annual Meeting, Fort Colins, CO, June 2024.

16. Kurum E. Joint Modeling of Interdependent Outcomes in Chronic Kidney Disease. Statistical Methods Forum, Mayo Clinic, June 2024

17. Kurum E. Spatiotemporal Multilevel Joint Modeling of Longitudinal and Survival Outcomes in End-Stage Kidney Disease. International Chinese Statistical Association Applied Statistics Symposium, Nashville, June 2024. 

18. Nguyen DV. A Bayesian trivariate joint model of longitudinal kidney disease progression, recurrent cardiovascular events, and terminal event in chronic kidney disease . WNAR/IMS Western North American Regional Meeting of the International Biometrics Society Annual Meeting, Fort Colins, CO, June 2024.

19. Kurum E. A Bayesian joint model of longitudinal kidney disease progression, recurrent cardiovascular events, and terminal event in patients with chronic kidney disease. ENAR/IMS Eastern North American Regional Meeting of the International Biometrics Society Annual, Baltimare, MD, March 2024.

20. Nguyen DV. High-dimensional fixed effects profiling models and applications. Department of Epidemiology and Biostatistics, University of California, Irvine, January 2024.

2023

21. Nguyen DV. A Bayesian trivariate joint model of kidney disease progression, recurrent cardiovascular events, and terminal event. Computational and Methodological Statistics Conference, University of Applied Sciences, Berlin, Germany, December 2023.

22. Kurum E. A Bayesian joint model of longitudinal kidney disease progression, recurrent cardiovascular events, and terminal event in patients with chronic kidney disease. Women in Statistics and Data Science Conference, American Statistical Association, Bellevue, WA, October 2023.

23. Kurum E. A Bayesian multilevel time-varying framework for joint modeling of longitudinal and survival outcomes. 23rd annual conference of the European Network for Business and Industrial Statistics, Valencia, Spain, September 2023.

24. Senturk D. Multivariate functional models for modeling adverse outcomes of dialysis patients. Orange County Biostatistics Symposium, Irvine, CA, September 2023.

25. Qian Q. Multivariate spatiotemporal functional principal component analysis. Orange County Chapter of the American Statistical Association, 2023 Biostatistics Symposium, Irvine, CA, September 2023. (Poster presentation)

26. Nguyen DV. High-dimensional fixed effects profiling models and applications. 6th International Conference on Econometrics and Statistics (EcoSta), Waseda University, Tokyo, Japan, August 2023.

27. Kurum E. A Bayesian multilevel time-varying framework for joint modeling of longitudinal and survival outcomes. 6th International Conference on Econometrics and Statistics (EcoSta), Waseda University, Tokyo, Japan, August 2023.

28. Qian Q. Multivariate spatiotemporal functional principal component analysis. Joint Statistical Meetings, American Statistical Association, Toronto, Canada, August 2023.

29. Nguyen DV. A Bayesian joint model of kidney disease progression, recurrent cardiovascular events, and terminal event. Joint Statistical Meetings, American Statistical Association, Toronto, Canada, August 2023.

30. Kurum E. A Bayesian multilevel time-varying framework for joint modeling of longitudinal and survival outcomes. International Statistics Institute World Statistics Congress, Ottawa, Canada, July 2023.

31. Senturk D. Multivariate Spatiotemporal Functional Principal Components Analysis for Modeling Hospitalization and Mortality Rates in the Dialysis Population. Division of Biostatistics and Bioinformatics, University of California, San Diego, June 2023.

32. Qian Q. Multivariate spatiotemporal functional principal component analysis. UCLA School of Public Health Symposium, Los Angeles, CA, March 2023.

33. Senturk D. Multivariate Spatiotemporal Functional Principal Components Analysis for Modeling Hospitalization and Mortality Rates in the Dialysis Population. ENAR/IMS, Eastern North American Region of the International Biometrics Society Annual Meeting, Nashville, TN, March 2023.

2022

34. Qian, Q. Multivariate spatiotemporal functional principal component analysis. Orange County Biostatistics Symposium, Irvine, CA, October 2022.

35. Nguyen DV. High-dimensional fixed effects profiling models: new developments and applications. Joint Statistical Meetings, American Statistical Association, Washington DC, Aug 2022.

36. Senturk D. Multilevel Modeling of Spatially Nested Functional Data: Spatiotemporal Patterns of Hospitalization Rates in the U.S. Dialysis Population. International Chinese Statistical Association 2022 Applied Statistics Symposium, Gainesville, FL, June 2022. 

37. Nguyen DV. High-dimensional fixed effects profiling models: new developments and applications. WNAR/IMS Western North American Regional Meeting of the International Biometrics Society Annual Meeting, Davis, CA, June 2022 (virtual).

38. Kurum E. A Bayesian multilevel time-varying framework for joint modeling of hospitalization and survival in patients on dialysis. International Chinese Statistical Association Canada Chapter Symposium, July 2022.

39. Kurum E. Multilevel time-varying joint models for hospitalization and survival in patients on dialysis. WNAR/IMS Western North American Regional Meeting of the International Biometrics Society Annual Meeting, Davis, CA, June 2022 (virtual). 

40. Kurum E. A Bayesian multilevel time-varying framework for joint modeling of hospitalization and survival in patients on dialysis. International Conference on Econometrics and Statistics, June 2022.

41. Quintanilla Salinas, I. Multilevel joint models for longitudinal and survival outcomes. National Institute of Statistical Sciences Annual Graduate Student Conference, May 2022.

2021

42.  Senturk D. Spatiotemporal modeling of multilevel functional data. Columbia University, Department of Biostatistics, Functional Data Analysis working group, April, 2021 (virtual).

43.  Senturk D. Spatiotemporal patterns of hospitalization rates in the U.S. dialysis population. Vanderbilt University, Department of Biostatistics, April, 2021 (virtual).

44.  Senturk D. Multilevel modeling of spatially nested functional data. University of Melbourne, Department of Statistics, July 2021 (virtual).

45. Senturk D. Spatiotemporal patterns of hospitalization rates in the U.S. dialysis population. Joint Statistical Meetings, August, 2021 (virtual).

46. Senturk D. Spatiotemporal regression models in nephrology. Binghamton University, Department of Mathematical Sciences, October 2021 (virtual). 

47. Nguyen DV. Profiling dialysis facilities for adverse recurrent events. University of California, Davis , Graduate Group in Biostatistics, April 2021 (virtual). 

48.  Nguyen DV. High-dimensional fixed effects profiling models: new developments and applications. 2021 Computational and Methodological Statistics Conference, King’s College, London, UK, December 2021 (virtual).

49. Kurum E. Multilevel joint modeling of hospitalization and survival in patients on dialysis. Australia and New Zealand Statistical Online Conference (ANZSC) 2021 Conference, July 2021 (virtual). 

50. Kurum E. Multilevel Joint modeling of hospitalization and survival in patients on dialysis. 2021 Computational and Methodological Statistics Conference, King’s College, London, UK, December 2021 (virtual).

2020

51. Senturk D. Multilevel Modeling of Spatially Nested Functional Data: Spatiotemporal Patterns of Hospitalization Rates in the U.S. Dialysis Population. University of Minnesota, Division of Biostatistics, October 2020.

52. Nguyen DV. Profiling dialysis facilities for adverse recurrent events. The University of Tennessee Health Science Center Division of Biostatistics, Department of Preventive Medicine, Sept 2020 (virtual)

53. Nguyen DV. Profiling dialysis facilities for adverse recurrent events. Joint Statistical Meetings, American Statistical Association, Philadelphia, Aug 2020 (virtual)

2019

54. Nguyen DV. Profiling dialysis facilities for adverse recurrent events. Joint Statistical Meetings, American Statistical Association, Denver, CO, July 2019.

55. Senturk D. Modeling time-varying effects of multilevel risk factors of hospitalizations in patients on dialysis. ENAR/IMS Eastern North American Regional Meeting of the International Biometrics Society Annual Meeting, Philadelphia, PA, March 2019. 

56. Nguyen DV. Time-dynamic profiling of dialysis facilities with application to hospital readmissions among dialysis patients WNAR/IMS Western North American Regional Meeting of the International Biometrics Society Annual Meeting, Portland, OR, June  2019.

2018

57. Senturk D. Time-dynamic regression modeling of outcomes for patients on dialysis. UC Irvine Division of Nephrology Grand Rounds, Irvine, CA, January, 2018.

58.  Senturk D. Modeling time-varying effects of multilevel risk factors of hospitalizations in patients on dialysis. University of California, Riverside, Department of Statistics, CA, January, 2018.

59. Senturk D. Time-varying regression modeling. University of California, Los Angeles, Department of Biostatistics, January 2018.

60.  Nguyen D. Case series analysis of infection-cardiovascular risk in patients on dialysis with exposure onset error. University of California, Riverside, Department of Statistics, CA, January, 2018.

61. Nguyen D. Development and validation of risk prediction models. UC Irvine Division of Nephrology Grand Rounds, Irvine, CA, April, 2018.

62. Senturk D. Time-dynamic regression models in nephrology. University of California, Los Angeles, Department of Statistics, April 2018.

63.  Nguyen DV. Bias and estimation under misspecification of the risk period in self-controlled case series studies. Joint Statistical Meetings, Vancouver, Canada, July 2018.    

64. Nguyen DV. Prediction of early mortality after transition to dialysis. Northwest Kidney Center, USRDS Special Studies, Seattle, WA, June 10, 2018.

2017

65. Senturk D. Time-dynamic assessment with application to hospital readmission among patients on dialysis. Eastern North American/International Biometric Society (ENAR) Meeting, Washington DC, March, 2017.

66. Nguyen DV. Issues in assessment of dialysis facilities: an examination of facility-level factors. Eastern North American/International Biometric Society (ENAR) Meeting, Washington DC, March, 2017. 

67.  Senturk D. Time-dynamic dialysis facility profiling. Association for Women in Mathematics Research Symposium, UCLA, April, 2017.

68.  Nguyen DV. Case series analysis of infection-cardiovascular risk in patients on dialysis with exposure on set error. UC Irvine, Department of Epidemiology, March 2017.

2016

69. Nguyen DV. Case series models with application infection-cardiovascular risk in patients on dialysis in the United States. Invited session in “Big Data Analytics and Its Application in Biomedicine”, Computational and Methodological Statistics (9th International Conference of the ERCIM WG), Seville, Spain, December 2016.

70.  Senturk D. Challenges in time-varying effects modeling in the era of big data. Workshop on Statistical Modeling of Big Data, Department of Statistics, UC Irvine, August, 2016.

71.  Senturk D. Modeling time-varying trends with applications to data from neuroimaging and large-scale databases. University of California Riverside, Department of Statistics, May 2016. 

2015

72.  Nguyen DV. Case series analysis of infection-cardiovascular risk in patients on dialysis with exposure on set error. Association of Clinical and Translational Statistician, Seattle, WA, August 2015 (keynote).

73.  Senturk D. Modeling longitudinal trends in high-dimensional data. Joint Statistical Meetings, Seattle, WA, August 2015.

74. Nguyen DV. Case series analysis of infection-cardiovascular risk in patients on dialysis with exposure on set error. Division of Biostatistics, University of California, San Diego, CA, July 2015.

75.  Senturk D. Time-varying effects modeling and its applications. Division of Biostatistics and Bioinformatics, University of California, San Diego, June, 2015.

76. Nguyen DV. Nguyen, D.V. Issues in profiling of health care providers. WNAR/IMS Western North American Regional Meeting of the International Biometrics Society Annual Meeting, Boise State University, Boise, Idaho, June, 2015.

77.  Senturk D. Cardiovascular event risk dynamics over time in older patients on dialysis: A generalized multiple-index varying coefficient model approach. Department of Statistics, University of California, Santa Barbara, November 2015.

78.  Senturk D. Time-varying effect modeling with longitudinal data. Eastern North American/International Biometric Society Meeting, Miami, Florida, March, 2015.

2014

79. Nguyen DV. Estimation and inference under misspecification of the optimal risk period in the self-controlled case series method with applications to vaccine safety studies.  International Indian Statistical Association Conference on Research Innovation in Statistics for Health, Education, Technology, and Society, Riverside, CA, July, 2014.

80. Nguyen DV. Weighted hurdle regression method for joint modeling of cardiovascular events likelihood and rate in the U.S. dialysis population. WNAR/IMS Western North American Regional Meeting of the International Biometrics Society Annual Meeting, University of Hawaii, Honolulu,  June 2014.

2013

81. Nguyen DV. Estimation and inference under misspecification of the optimal risk period in the self-controlled case series method with applications to vaccine safety studies. UC Irvine,  September 2013.

82. Nguyen DV. Case series design, inference and analysis of infection-cardiovascular risk in patients on dialysis. Joint Statistical Meetings, Montreal, Canada, August 2013.

83. Senturk D. Partly conditional generalized multi-index varying coefficient modeling. Joint Statistical Meetings, Montreal, Canada, August 2013.

84. Nguyen, D.V. Naive hypothesis testing for case series models with time-varying exposure onset measurement error: Inference for infection-cardiovascular risk in patients on dialysis. The Western North American Region of the International Biometric Society, Los Angeles, June 2013.

85.  Estes J. Cardiovascular event risk dynamics over time in older patients on dialysis: A generalized multiple-index varying coefficient model approach. The Western North American Region of the International Biometric Society, Los Angeles, June 2013.

86.  Campos L.  A solution to the misspecification of the optimal risk period in the self-controlled case series method. The Western North American Region of the International Biometric Society, Los Angeles, June 2013.

87. Senturk D. Generalized varying coefficient modeling with multiple time-indices. University of California, Los Angeles, Department of Statistics, May 2013.

88. Senturk D. Varying coefficient modeling for characterizing cardiovascular dynamics. Invited seminar. University of Minnesota, Department of Biostatistics, May, 2013.

89. Senturk D. Modeling time varying effects with generalized and unsynchronized longitudinal data. Department of Mathematics, California State University, Fullerton, April 2013.

90.  Senturk D. Generalized varying coefficient models. Invited seminar. Department of Mathematics and Statistics, California State University, Long Beach, April 2013.

2012

91. Senturk D. Characterizing cardiovascular risk dynamics over time. National Institute of Diabetes and Digestive and Kidney Diseases Workshop, Bethesda, MD, December 2012.

92. Senturk D. Historical functional linear modeling with longitudinal data. Invited seminar. Fred Hutchinson Cancer Research Center, Seattle, WA, November 2012.

93. Senturk D. Varying coefficient models for sparse longitudinal data. University of Washington, Department of Biostatistics, Seattle,  WA, November 2012.

94. Senturk D. Longitudinal data analysis. University of California, Los Angeles, Center for Applied Statistics, October 2012.

95. Senturk, D. Functional regression for longitudinal data. Invited seminar. Marshall School of Business, University of Southern California, September 2012.

96. Senturk D. Functional varying coefficient models for longitudinal data. Department of Mathematics and Statistics, San Diego State University, September 2012.

97. Mohammed SM. Design Considerations for Case Series Models with Exposure Onset Measurement Error. Joint Statistical Meetings, San Diego, August 2012.

98. Nguyen  DV. Measurement Error Case Series Models with Application to Infection-Cardiovascular Risk in Older Patients on Dialysis. Joint Statistical Meetings, San Diego, August 2012.

99. Mohammed SM. Measurement Error Case Series Models: Methodology and Application to US Dialysis Population. Graduate Group in Epidemiology Seminar, University of California, Davis, May 2012.

100. Senturk D. Varying Coefficient Models for Sparse Noise-Contaminated Longitudinal Data. Eastern North American/International Biometric Society Meeting, Washington D.C., April 2012.

101. Senturk D. Effective semiparametric modeling for ultra-sparse, unsynchronized and imprecise longitudinal data. UC Irvine, Department of Statistics, February 2012.

2011

102.  Nguyen DV. The Role of Biostatistics, Epidemiology and Research Design (BERD) in the CTSA Consortium: From BERD Collaboration to Discovery - Stories From High-throughput Data Classification/Prediction. UC Irvine Institute for Clinical and Translational Science, UC Irvine, March 2011. 

103. Mohammed SM. Measurement Error Case Series Models: Methodology and Application. Invited seminar. Department of Mathematics and Statistics, California State University, Chico, October 2011.