New Considerations for the Four Pillars of Survival Analysis: Estimands, Design, Estimation, and Inference

Mon, Aug 5, 2:00 PM - 3:50 PM

Pamela ShawChair

Lifetime Data Science Section

7 Presentations

Causal Interpretation of Hazard Ratios from Randomized Experiments

2:05 PM - 2:20 PM

Michael Fay (National Institute of Allergy and Infectious Diseases)

Co-authors: Fan Li (Yale School of Public Health)

Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting

2:20 PM - 2:35 PM

Yihan Bao

Co-authors: Lauren Bell (Medical Research Council Biostatistics Unit, University of Cambridge), Elizabeth Williamson (Department of Medical Statistics, London School of Hygiene and Tropical Medicine), Claire Garnett (Department of Behavioural Science and Health, University College London), Tianchen Qian (University of California, Irvine)

Revisit Partial Likelihood and Tie Corrections for the Cox Model Using Poisson Binomial Distribution

2:35 PM - 2:50 PM

Youngjin Cho (Virginia Tech)

Co-authors: Yili Hong (Virginia Tech), Pang Du (Virginia Tech)

Optimal Survival Analyses With Prevalent and Incident Patients

2:50 PM - 3:05 PM

Nicholas Hartman

Modified Nested Case-Control Designs for Assessing Effect Modification in Underrepresented Groups

3:05 PM - 3:20 PM

Mikaela Nishida

Co-authors: Michelle Nuno, Daniel Gillen (University of California-Irvine)

Frailty and Bias Under Cox's Model

3:20 PM - 3:35 PM

Jong-Hyeon Jeong (National Institutes of Health/National Cancer Institute)

Multiple Imputation of Missing Time-Dependent Covariates in Survival Analysis

3:35 PM - 3:50 PM

Xiaoming Gao

Co-authors: Fei Zou (University of North Carolina), Qingxia Chen (Vanderbilt University Medical Center)