108 citations · 355 across the 29 of their papers we have counts for
5 papers · 1 filter
The Balancing Act in Causal Inference
Eli Ben-Michael, Avi Feller, David A. Hirshberg +1
The idea of covariate balance is at the core of causal inference. Inverse propensity weights play a central role because they are the unique set of weights that balance the covaria…
Randomized and Balanced Allocation of Units into Treatment Groups Using the Finite Selection Model for R
Ambarish Chattopadhyay, Carl N. Morris, Jose R. Zubizarreta
The original Finite Selection Model (FSM) was developed in the 1970s to enhance the design of the RAND Health Insurance Experiment (HIE; Newhouse et al. 1993). At the time of its d…
Profile Matching for the Generalization and Personalization of Causal Inferences
Eric R. Cohn, Jose R. Zubizarreta
We introduce profile matching, a multivariate matching method for randomized experiments and observational studies that finds the largest possible unweighted samples across multipl…
Targeted Quality Measurement of Health Care Providers
Yige Li, Nancy L. Keating, Mary Beth Landrum +1
Assessing the quality of cancer care administered by US health providers poses numerous challenges due to meaningful heterogeneity in patient populations. Patients undergoing oncol…
On the implied weights of linear regression for causal inference
Ambarish Chattopadhyay, Jose R. Zubizarreta
A basic principle in the design of observational studies is to approximate the randomized experiment that would have been conducted under controlled circumstances. Now, linear regr…