2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
A coherent likelihood parametrization for doubly robust estimation of a causal effect with missing confounders
Katherine Evans, Isabel Fulcher, Eric J. Tchetgen Tchetgen
Missing data and confounding are two problems researchers face in observational studies for comparative effectiveness. Williamson et al. (2012) recently proposed a unified approach…
Estimation of natural indirect effects robust to unmeasured confounding and mediator measurement error
Isabel R. Fulcher, Xu Shi, Eric J. Tchetgen Tchetgen
The use of causal mediation analysis to evaluate the pathways by which an exposure affects an outcome is widespread in the social and biomedical sciences. Recent advances in this a…
Robust inference on population indirect causal effects: the generalized front-door criterion
Isabel R. Fulcher, Ilya Shpitser, Stella Marealle +1
Standard methods for inference about direct and indirect effects require stringent no unmeasured confounding assumptions which often fail to hold in practice, particularly in obser…
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…