All Times EDT
Legend:
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
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
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
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
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
1:40 PM
Floor Discussion
