3 papers
stat.ME2022
Doubly Robust Proximal Causal Inference under Confounded Outcome-Dependent Sampling
Kendrick Qijun Li, Xu Shi, Wang Miao +1
Unmeasured confounding and selection bias are often of concern in observational studies and may invalidate a causal analysis if not appropriately accounted for. Under outcome-depen…
stat.ME2022
Alternative approaches for analysing repeated measures data that are missing not at random
Oliver Dukes, David Richardson, Eric Tchetgen Tchetgen
We consider studies where multiple measures on an outcome variable are collected over time, but some subjects drop out before the end of follow up. Analyses of such data often proc…
stat.ME2016
Mediation Analysis for Censored Survival Data under an Accelerated Failure Time Model
Isabel R. Fulcher, Eric Tchetgen Tchetgen, Paige L. Williams
Recent advances in causal mediation analysis have formalized conditions for estimating direct and indirect effects in various contexts. These approaches have been extended to a num…