Discovering effect modification in an observational study of surgical mortality at hospitals with superior nursing

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

(2018) Stefan Wager et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

An adaptive Mantel-Haenszel test for sensitivity analysis in observational studies

(2016) Paul R. Rosenbaum et al.   BIOMETRICS

Recursive partitioning for heterogeneous causal effects: Table 1.

(2016) Susan Athey et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Strong control of the familywise error rate in observational studies that discover effect modification by exploratory methods

(2015) Jesse Y. Hsu et al.   BIOMETRIKA

Randomization inference for treatment effect variation

(2015) Peng Ding et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Effect of the 2010 Chilean Earthquake on Posttraumatic Stress

(2012) José R. Zubizarreta et al.   EPIDEMIOLOGY

Should Epidemiologists Be More Sensitive to Design Sensitivity?

(2012) Elizabeth A. Stuart et al.   EPIDEMIOLOGY

Effect Modification and Design Sensitivity in Observational Studies

(2012) Jesse Y. Hsu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The sensitivity of linear regression coefficients’ confidence limits to the omission of a confounder

(2010) Carrie A. Hosman et al.   Annals of Applied Statistics

Amplification of Sensitivity Analysis in Matched Observational Studies

(2010) Paul R. Rosenbaum et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

On Estimation of the Survivor Average Causal Effect in Observational Studies When Important Confounders Are Missing Due to Death

(2008) Brian L. Egleston et al.   BIOMETRICS