181 citations · 310 across the 17 of their papers we have counts for
3 papers · 1 filter
Robust variance estimation and inference for causal effect estimation
Linh Tran, Maya Petersen, Joshua Schwab +1
We consider a longitudinal data structure consisting of baseline covariates, time-varying treatment variables, intermediate time-dependent covariates, and a possibly time dependent…
Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy
Alexander R. Luedtke, Mark J. van der Laan
We consider challenges that arise in the estimation of the mean outcome under an optimal individualized treatment strategy defined as the treatment rule that maximizes the populati…
Causal inference in longitudinal studies with history-restricted marginal structural models
Romain Neugebauer, Mark J. van der Laan, Marshall M. Joffe +1
A new class of Marginal Structural Models (MSMs), History-Restricted MSMs (HRMSMs), was recently introduced for longitudinal data for the purpose of defining causal parameters whic…