Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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* = applied session ! = JSM meeting theme

Activity Details

13 *	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Advances in Longitudinal Methods in Research on Aging and Dementia from the MEthods for LOngitudinal Studies of DEMentia (MELODEM) Initiative — Invited Papers
Biometrics Section, Lifetime Data Science Section, ENAR
Organizer(s): Michelle Shardell, University of Maryland School of Medicine
Chair(s): Michelle Shardell, University of Maryland School of Medicine
1:35 PM	Prediction of Dementia Types Using Machine Learning Methods Chung-Chou H. Chang, University of Pittsburgh; Yueting Wang, University of Pittsburgh; Yichen Jia, University of Pittsburgh; Mary Ganguli, University of Pittsburgh
1:55 PM	Causal Mediation Analysis of the Timing of Risk Factors for Incident Cognitive Impairment Nicole Armstrong, Alpert Medical School of Brown University
2:15 PM	Joint Modeling of the Temporal Relationships Between Multivariate Longitudinal Markers of Alzheimer’s Disease Progression and Clinical Endpoints Anaïs Rouanet, Inserm U1219 - Bordeaux Population Health research center; Cécile Proust-Lima, University of Bordeaux
2:35 PM	Estimating Heterogenous Effects of Education on Dementia Using Bayesian Trees Jordan Weiss, University of California, Berkeley; Sameer Deshpande, Massachusetts Institute of Technology - CSAIL
2:55 PM	Using Hidden Markov Models to Track Cognitive Decline Presentation Terry Michael Therneau, Mayo Clinic
3:20 PM	Discussant: Cécile Proust-Lima, University of Bordeaux
3:15 PM	Floor Discussion

143 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
New Machine Learning Tools for Mobile Health Data and Individual Intervention — Invited Papers
Lifetime Data Science Section, Section on Statistical Learning and Data Science, IMS, ENAR
Organizer(s): Annie Qu, Unviersity of California Irvine
Chair(s): Bin Nan, University of California Irvine
10:05 AM	Inference of Causal Relations with Interventions Chunlin Li, University of Minnesota; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
10:30 AM	Tracking Weight Loss Before and During Pregnancy Heping Zhang, Yale University
10:55 AM	Efficient Learning of Optimal Individualized Treatment Rules Weibin Mo, University of North Carolina; Yufeng Liu, University of North Carolina at Chapel Hill
11:20 AM	Supervised Learning of Health-Related Secret Codes from Wearable Devices Data Peter X.K. Song, University of Michigan
11:45 AM	Floor Discussion

187 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Surrogate Markers and the Role of Mediation Analysis in Drug Development — Invited Papers
Biometrics Section, Lifetime Data Science Section, ENAR
Organizer(s): Peng Wei, The University of Texas MD Anderson Cancer Center
Chair(s): Peng Wei, The University of Texas MD Anderson Cancer Center
1:35 PM	Correlating Surrogate Endpoints with Overall Survival at the Individual Patient Level for Precision Oncology Emily C Zabor, Cleveland Clinic
1:55 PM	Joint Modeling of Surrogate and Primary End Points via Causal Mediation Analyses Yen-Tsung Huang, Academia Sinica
2:15 PM	A Survival Mediation Model with Bayesian Model Averaging Jie Zhou, Cleveland Clinic Foundation; Peng Wei, The University of Texas MD Anderson Cancer Center; Brian Hobbs, The University of Texas at Austin
2:35 PM	Predicting Outcomes of Phase III Oncology Trials with Bayesian Mediation Modeling Jie Zhou, Cleveland Clinic Foundation; Xun Jiang, Amgen; Amy Xia, Amgen; Peng Wei, The University of Texas MD Anderson Cancer Center; Brian Hobbs, The University of Texas at Austin
2:55 PM	Discussant: Stijn Vansteelandt, Ghent University
3:15 PM	Floor Discussion

295 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Causal, Robust, and Machine Learning for Survival Outcomes — Invited Papers
Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jelena Bradic, University of California, San Diego
Chair(s): Jelena Bradic, University of California, San Diego
3:35 PM	Instrumental Variable Estimation of Marginal Structural Cox Model for Time-Varying Treatments Eric Tchetgen Tchetgen, University of Pennsylvania
4:00 PM	Some Advances in Finite-Horizon Reinforcement Learning for Time-to-Event Outcomes Michael Kosorok, University of North Carolina at Chapel Hill
4:25 PM	Assumption-Lean Inference for Cox Regression Parameters Stijn Vansteelandt, Ghent University; Oliver Dukes, Ghent University; Kelly Van Lancker, Ghent University, Belgium
4:50 PM	Towards Double Robustness under the Cox Marginal Structural Model Ronghui Xu, University of California at San Diego; Denise Rava, Ucsd; Jelena Bradic, University of California, San Diego
5:15 PM	Floor Discussion

349	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Lifetime Data Science Student Awards — Topic-Contributed Papers
Lifetime Data Science Section
Organizer(s): Zhezhen Jin, Columbia University
Chair(s): Zhezhen Jin, Columbia University
10:05 AM	Efficiency of the Breslow Estimator in Semiparametric Transformation Models Presentation Theresa Devasia, University of Michigan; Alexander Tsodikov, University of Michigan
10:20 AM	Analysis of Readmissions Data Taking Account of Competing Risks Presentation Wenbo Wu, University of Michigan; Kevin He, University of Michigan; Xu Shi, Department of Biostatistics, University of Michigan; Douglas E. Schaubel, University of Pennsylvania; John D. Kalbfleisch, University of Michigan
10:35 AM	Deep Learning for Quantile Regression under Right Censoring: DeepQuantreg Presentation Yichen Jia, University of Pittsburgh; Jong-Hyeon Jeong, University of Pittsburgh
10:50 AM	Partial-Linear Single-Index Cox Regression with Multiple Time-Dependent Covariates Myeonggyun Lee, New York University Grossman School of Medicine; Andrea B. Troxel, New York University Grossman School of Medicine; Sophia Kwon, New York University Grossman School of Medicine; Anna Nolan, New York University Grossman School of Medicine; Mengling Liu, New York University Grossman School of Medicine
11:05 AM	Hazard Regression for Interval-Censored Outcome with Interval-Censored Covariate Yue Song, Harvard T. H. Chan School of Public Health; Wenbin Lu, North Carolina State University; Rui Wang, Harvard Pilgrim Health Care Institute
11:20 AM	Assessing Treatment Effects Overtime on Mortality of Opioid Use Disorders Under a Generalized Cox Proportional Hazards Model Trevor Thomson, Simon Fraser University; Joan X. Hu, Simon Fraser University; Bohdan Nosyk, Simon Fraser University
11:35 AM	Floor Discussion

357 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Cross-Cutting Research in Causal Inference and Survival Analysis — Invited Papers
Section on Statistics in Epidemiology, Lifetime Data Science Section, Biometrics Section
Organizer(s): Usha Govindarajulu, Ichan School of Medicine at Mount Sinai
Chair(s): Usha Govindarajulu, Ichan School of Medicine at Mount Sinai
12:05 PM	Bayesian machine learning for causal inference with multiple treatments and multilevel survival data Liangyuan Hu, Icahn School of Medicine; Jiayi Ji, Icahn School of Medicine; Joseph Hogan, Brown University
12:30 PM	A Common Language Effect Size Derived from Marginalizing the Cox Model: Estimating Causal Effects from Observational Studies Pablo Martinez Camblor, Geisel School of Medicine at Dartmouth
12:55 PM	Aiding Causal Inference Through Parameter Expansion of the Cox Model to Allow Effects to Vary with Follow-Up James O'Malley, Dartmouth College; Todd MacKenzie, Dartmouth College; Pablo Martinez Camblor, Geisel School of Medicine at Dartmouth
1:20 PM	Discussant: Miguel Hernan, Harvard School of Public Heatlh
1:40 PM	Floor Discussion

397 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Personalized Medicine with Large-Scale Data: Beyond Machine Learning — Invited Papers
ENAR, Lifetime Data Science Section, International Chinese Statistical Association
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Yichuan Zhao, Georgia State University
2:05 PM	Inference for High-Dimensional Censored Quantile Regression Yi Li, University of Michigan
2:30 PM	Testing a High-Dimensional Parameter in the Presence of High-Dimensional Nuisance Parameters Wei Pan, University of Minnesota
2:55 PM	Personalized Medicine with Large-Scale Data: Beyond Machine Learning Ross Laverne Prentice, Fred Hutchinson Cancer Research Center
3:20 PM	Discussant: Ian McKeague, Columbia University
3:45 PM	Floor Discussion

409 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Estimands in Oncology: Papers from an Industry Working Group — Topic-Contributed Papers
Biopharmaceutical Section, Lifetime Data Science Section, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Jonathan Siegel, Bayer US
Chair(s): Jonathan Siegel, Bayer US
2:05 PM	Utilizing Surrogate Endpoints in Adaptive Designs with Delayed Treatment Effect Jianchang Lin, Takeda Pharmaceuticals; Qing Li, Takeda Pharmaceuticals; Mengya Liu, Takeda Pharmaceuticals; Liwen Wu, University of Pittsburgh
2:25 PM	Use of Estimand Framework in Hematology Oncology Trials: Practical Implementation Presentation Steven C Sun, Janssen; Satrajit Roychoudhury, Pfizer Inc.
2:45 PM	Logic-Respecting Efficacy Measures in the Presence of Prognostic or Predictive Biomarker Subgroups Yi Liu, Nektar Therapeutic
3:05 PM	Treatment Switching and Estimands for Overall Survival in Oncology Clinical Trials: Issues and Controversies Natalia Kan-Dobrosky, PPD Inc
3:25 PM	Discussant: Satrajit Roychoudhury, Pfizer Inc.
3:45 PM	Floor Discussion

417	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Recent advancement on life time data analysis — Contributed Speed
Lifetime Data Science Section
Chair(s): Zhiguo Li, Duke University
2:05 PM	Adjusting for Immortal Time Bias in Studies Assessing the Association Between Polygenic Risk and Residual Lifetime Risk Qiuxi Huang, Boston University School of Public Health; Sarah Conner, Boston University School of Public Health; Favel Mondesir, Boston University School of Public Health; Ludovic Trinquart, Department of Biostatistics, Boston University School of Public Health
2:10 PM	Semiparametrically Efficient and Doubly Robust Estimation of Hazard Difference for Competing Risks Data Denise Rava, Ucsd; Ronghui Xu, University of California at San Diego
2:15 PM	RECeUS: Ratio Estimation of Censored Uncured Subjects - a Different Approach for Studying Sufficient Follow-Up in Studies of Long-Term Survivors Subodh Rajesh Selukar, University of Washington; Megan Othus, Fred Hutchinson Cancer Research Center
2:20 PM	Doubly-Robust Estimator of the Difference in Restricted Mean Times Lost with Competing Risks Data Presentation Jingyi Lin, Boston University; Ludovic Trinquart, Department of Biostatistics, Boston University School of Public Health
2:25 PM	High-Dimensional Variable Selection for the Additive Cox Model with Interval-Censored Data Tian Tian, University of Missouri-Columbia; Jianguo Sun, Univerisity of Missouri-Columbia
2:30 PM	Semiparametric Regression Analysis of Partly Interval-Censored Failure Time Data with Application to an AIDS Clinical Trial Qingning Zhou, University of North Carolina at Charlotte; Yanqing Sun, University of North Carolina at Charlotte; Peter Gilbert, Fred Hutchinson Cancer Research Center
2:35 PM	Semiparametric Regression on Cumulative Incidence Function with Interval-Censored Competing Risks Data and Missing Event Types Jun Park, Merck & Co. Inc.; Giorgos Bakoyannis, Indiana University; Ying Zhang, University of Nebraska Medical Center; Constantin Yiannoutsos, Indiana University
2:40 PM	Optimal Partitioning for the Proportional Hazards Model Usha Govindarajulu, Ichan School of Medicine at Mount Sinai; Thaddeus Tarpey, NYU
2:45 PM	Impact of Index Date Selection for Survival Analysis with Heterogeneous Treatment Effects in Longitudinal Data Presentation Virginia Fisher, Foundation Medicine, Inc.; Leah Comment, Foundation Medicine, Inc.
2:50 PM	Efficient Estimation of Semiparametric Transformation Model with Interval-Censored Data in Two-Phase Cohort Studies Fei Gao, Fred Hutchinson Cancer Research Center; Kwun Chuen Gary Chan, University of Washington
3:00 PM	An Information Ratio-Based Goodness-of-Fit Test for Copula Models on Censored Data Tao Sun, Renmin University of China; Yu Cheng, University of Pittsburgh; Ying Ding, University of Pittsburgh
3:05 PM	Impact on Type I Error and Power Due to Mixed Interval-Censoring in Single-Arm Phase II Clinical Trial Designs Fang-Shu Ou, Mayo Clinic; Martin Heller, Sole proprietor; Phillip Schulte, Mayo Clinic
3:10 PM	New Distortion Risk Measures and Their Estimation Jungsywan Sepanski, Central Michigan University; Xiwen Wang, Central Michigan University
3:15 PM	Joint Modeling of Survival and Longitudinal Data Under the Proportional Mean Residual Model Ruiwen Zhou, Univerisity of Missouri-Columbia; Jianguo Sun, Univerisity of Missouri-Columbia
3:20 PM	Modeling Community Well-Being and Cross-Level Interactions Using Functional Data Wlodzimierz Okrasa, Cardinal Stefan Wyszynski University in Warsaw; Dominik Rozkrut, Statisitcs Poland
3:25 PM	Statistical Approach for Characterizing Patterns of Dietary Intake in a Mixture at Varying Levels of Disease Risk MinJae Lee, University of Texas Southwestern
3:30 PM	Proximal Causal Learning for ComplexLongitudinal Studies Andrew Ying, University of Pennsylvania; Xu Shi, Department of Biostatistics, University of Michigan; Wang Miao, Peking University; Eric Tchetgen Tchetgen, University of Pennsylvania
3:35 PM	Asymmetric Copula-Based Prediction Models Othmane Kortbi, UAE University

3:45 PM	Floor Discussion

220766	Thu, 8/19/2021, 5:00 PM - 6:00 PM
Lifetime Data Science Section Business Meeting — Other Cmte/Business
Lifetime Data Science Section
Chair(s): Mimi Kim, Albert Einstein College of Medicine
Lifetime Data Science Section Business Meeting Thursday, August 19th at (17:00 – 18:00 EDT, 14:00 – 15:00 PDT https://amstat.zoom.us/j/94121602814?pwd=eEVubnlQOXRVYVN0by9kNEt3MHZkdz09

JSM 2021 Online Program

Activity Details

American Statistical Association