Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

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

Random forest missing data algorithms

(2017) Fei Tang et al.   Statistical Analysis and Data Mining

Identification of predicted individual treatment effects in randomized clinical trials

(2016) Andrea Lamont et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Penalized regression procedures for variable selection in the potential outcomes framework

(2015) Debashis Ghosh et al.   STATISTICS IN MEDICINE

Risk estimation using probability machines

(2014) Abhijit Dasgupta et al.   BioData Mining

Synthetic learning machines

(2014) Hemant Ishwaran et al.   BioData Mining

Effect of Risk-Reduction Counseling With Rapid HIV Testing on Risk of Acquiring Sexually Transmitted Infections

(2013) Lisa R. Metsch et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Interaction trees: exploring the differential effects of an intervention programme for breast cancer survivors

(2011) Xiaogang Su et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Subgroup identification from randomized clinical trial data

(2011) Jared C. Foster et al.   STATISTICS IN MEDICINE

BART: Bayesian additive regression trees

(2010) Hugh A. Chipman et al.   Annals of Applied Statistics

Bayesian Nonparametric Modeling for Causal Inference

(2010) Jennifer L. Hill   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Scientific Evidence Underlying the ACC/AHA Clinical Practice Guidelines

(2009) Pierluigi Tricoci   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics