148 citations · 268 across the 4 of their papers we have counts for
5 papers
A note on post-treatment selection in studying racial discrimination in policing
Qingyuan Zhao, Luke J Keele, Dylan S Small +1
We discuss some causal estimands used to study racial discrimination in policing. A central challenge is that not all police-civilian encounters are recorded in administrative data…
Structural Nested Models and G-estimation: The Partially Realized Promise
Stijn Vansteelandt, Marshall Joffe
Structural nested models (SNMs) and the associated method of G-estimation were first proposed by James Robins over two decades ago as approaches to modeling and estimating the join…
Causal inference for continuous-time processes when covariates are observed only at discrete times
Mingyuan Zhang, Marshall M. Joffe, Dylan S. Small
Most of the work on the structural nested model and g-estimation for causal inference in longitudinal data assumes a discrete-time underlying data generating process. However, in s…
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…
Defining and Estimating Intervention Effects for Groups that will Develop an Auxiliary Outcome
Marshall M. Joffe, Dylan Small, Chi-Yuan Hsu
It has recently become popular to define treatment effects for subsets of the target population characterized by variables not observable at the time a treatment decision is made.…