Back to the program

Invited Paper Session

Recent Advances in Causal Inference to Address Complexities in Real-world Data

Wed, Aug 6, 8:30 AM - 10:20 AM Room CC-101C Music City Center

Ronghui XuOrganizerYuyao WangOrganizerYuyao WangChair

Section on Statistics in Epidemiology co: Biometrics Sectionco: Health Policy Statistics Section

6 Presentations

Higher-order estimators of time-varying effects in anisotropic smoothness models

8:35 AM - 8:50 AM

Nonparametric assessment of regimen response curve estimators

8:50 AM - 9:05 AM

Ashkan Ertefaie (University of Pennsylvania)

Incremental Causal Effect for Time to Treatment Initialization

9:05 AM - 9:20 AM

Ronghui Xu (University of California-San Diego)

Co-authors: Zhichen Zhao (UC San Diego), Andrew Ying (Google)

positivity stochastic intervention inverse probability weighting efficient influence function

Inference on Local Variable Importance Measures for Heterogeneous Treatment Effects

9:20 AM - 9:35 AM

Pawel Morzywolek (University of Washington)

Variable importance measures Heterogeneous treatment effects

Causal inference for all: Marginal causal effects for outcomes truncated by death

9:35 AM - 9:50 AM

Co-authors: Ruixuan Zhao

Causal inference Estimands Intercurrent events Survival analysis Biostatistics Randomized experiments

An Instrumental Variable Approach to Account for Informative Treatment Switching in Real-world Evidence

9:50 AM - 10:05 AM

Co-authors: Yang Liu (University of Minnesota), Andrew Ying (Google), Zongqi Xia (University of Pittsburgh)

Survival analysis causal inference Instrumental variables

↑