Recent Theoretical and Methodological Advances in Causal Inference for Survival Data

Wed, Aug 5, 2:00 PM - 3:50 PM Room CC-252A Thomas M. Menino Convention & Exhibition Center

Limin PengOrganizerYu ChengChair

Lifetime Data Science Section co: Section on Nonparametric Statisticsco: IMS Applied

4 Presentations

Conformal prediction of local individual treatment effect with survival data

2:05 PM - 2:30 PM

Limin Peng (Emory University)

Co-authors: Limin Peng (Emory University), Yuxiang Wu

Conformal inference Local individual causal effect Survival outcome

Estimating causal risk ratio under complex longitudinal adherence patterns with time-varying principal stratification

2:30 PM - 2:55 PM

Fei Gao (Fred Hutchinson Cancer Research Center)

Co-authors: Rui Wang (University of Washington), Kwun Chuen Gary Chan (University of Washington)

Noncompliance Nested case-control study Case-cohort study Hidden Markov model Principal stratification

Softmax Regression for Continuous-Time Competing Risks: a Neural Network Approach with Time Augmentation

2:55 PM - 3:20 PM

Jialiang Li (National University of Singapore)

Co-authors: Ming Gao (University of Michigan), Kaiwen Luo (Georgia Institute of Technology), Yu Cheng (Department of Statistics, University of Pittsburgh), Jialiang Li (National University of Singapore)

cumulative incidence function causal survival analysis competing risks Neural Network deep learning multi-class softmax

Instrumental variable methods in survival models with a cure fraction

3:20 PM - 3:45 PM

Ingrid Van Keilegom (Orstat, KU Leuven)

Co-authors: Ingrid Van Keilegom (Orstat, KU Leuven)

survival analysis asymptotic theory causal effect cure fraction instrumental variables