Assessing heterogeneous effects and their determinants via estimation of potential outcomes

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

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

Imputation approaches for potential outcomes in causal inference

(2015) Daniel Westreich et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Personalized medicine: Time for one-person trials

(2015) Nicholas J. Schork   NATURE

A New Initiative on Precision Medicine

(2015) Francis S. Collins et al.   NEW ENGLAND JOURNAL OF MEDICINE

Personalized Medicine: Four Perspectives of Tailored Medicine

(2015) Stephen J. Ruberg et al.   Statistics in Biopharmaceutical Research

Estimating treatment effect heterogeneity in randomized program evaluation

(2013) Kosuke Imai et al.   Annals of Applied Statistics

Robust estimation of causal effects of binary treatments in unconfounded studies with dichotomous outcomes

(2012) R. Gutman et al.   STATISTICS IN MEDICINE

Estimating measures of interaction on an additive scale for preventive exposures

(2011) Mirjam J. Knol et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Simultaneous and selective inference: Current successes and future challenges

(2010) Yoav Benjamini   BIOMETRICAL JOURNAL

The Path to Personalized Medicine

(2010) Margaret A. Hamburg et al.   NEW ENGLAND JOURNAL OF MEDICINE

Multiple imputation and other resampling schemes for imputing missing observations

(2009) Muni S. Srivastava et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Misunderstandings between experimentalists and observationalists about causal inference

(2008) Kosuke Imai et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY