313 citations · 394 across the 7 of their papers we have counts for
5 papers · 1 filter
Double-robust and efficient methods for estimating the causal effects of a binary treatment
James Robins, Mariela Sued, Quanhong Lei-Gomez +1
We consider the problem of estimating the effects of a binary treatment on a continuous outcome of interest from observational data in the absence of confounding by unmeasured fact…
Efficient estimation of optimal regimes under a no direct effect assumption
Lin Liu, Zach Shahn, James M. Robins +1
We derive new estimators of an optimal joint testing and treatment regime under the no direct effect (NDE) assumption that a given laboratory, diagnostic, or screening test has no…
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…
Causal Etiology of the Research of James M. Robins
Thomas S. Richardson, Andrea Rotnitzky
This issue of Statistical Science draws its inspiration from the work of James M. Robins. Jon Wellner, the Editor at the time, asked the two of us to edit a special issue that woul…
Comment: Performance of Double-Robust Estimators When ``Inverse Probability'' Weights Are Highly Variable
James Robins, Mariela Sued, Quanhong Lei-Gomez +1
Comment on ``Performance of Double-Robust Estimators When ``Inverse Probability'' Weights Are Highly Variable'' [arXiv:0804.2958]