313 citations · 1.6k across the 58 of their papers we have counts for
4 papers · 1 filter
Coherent modeling of longitudinal causal effects on binary outcomes
Linbo Wang, Xiang Meng, Thomas S. Richardson +1
Analyses of biomedical studies often necessitate modeling longitudinal causal effects. The current focus on personalized medicine and effect heterogeneity makes this task even more…
On the multiply robust estimation of the mean of the g-functional
Andrea Rotnitzky, James Robins, Lucia Babino
We study multiply robust (MR) estimators of the longitudinal g-computation formula of Robins (1986). In the first part of this paper we review and extend the recently proposed para…
Semiparametric Efficient Empirical Higher Order Influence Function Estimators
Lin Liu, Rajarshi Mukherjee, Whitney K. Newey +1
Robins et al. (2008, 2017) applied the theory of higher order influence functions (HOIFs) to derive an estimator of the mean of an outcome Y in a missing data model with Y miss…
Nested Markov Properties for Acyclic Directed Mixed Graphs
Thomas S. Richardson, Robin J. Evans, James M. Robins +1
Conditional independence models associated with directed acyclic graphs (DAGs) may be characterized in at least three different ways: via a factorization, the global Markov propert…