Comparing methods for estimation of heterogeneous treatment effects using observational data from health care databases

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

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

Some methods for heterogeneous treatment effect estimation in high dimensions

(2018) Scott Powers et al.   STATISTICS IN MEDICINE

Effectiveness and safety of apixaban versus warfarin in non-valvular atrial fibrillation patients in “real-world” clinical practice

(2017) Steve Deitelzweig et al.   THROMBOSIS AND HAEMOSTASIS

Association Between Hospital Volume and 30-Day Readmissions Following Transcatheter Aortic Valve Replacement

(2017) Sahil Khera et al.   JAMA Cardiology

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

An Observational Study Goes Where Randomized Clinical Trials Have Not

(2015) Austin B. Frakt   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A New Initiative on Precision Medicine

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

Bringing cohort studies to the bedside: framework for a ‘green button’ to support clinical decision-making

(2015) Blanca Gallego et al.   Journal of Comparative Effectiveness Research

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

A ‘Green Button’ For Using Aggregate Patient Data At The Point Of Care

(2014) Christopher A. Longhurst et al.   HEALTH AFFAIRS

Can the Learning Health Care System Be Educated With Observational Data?

(2014) Issa J. Dahabreh et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Learning from Big Health Care Data

(2014) Sebastian Schneeweiss   NEW ENGLAND JOURNAL OF MEDICINE

Real-world outcomes of US employees with type 2 diabetes mellitus treated with insulin glargine or neutral protamine Hagedorn insulin: a comparative retrospective database study

(2013) Li Wang et al.   BMJ Open

Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique

(2011) Jonathan M. Snowden et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Decision trees for uplift modeling with single and multiple treatments

(2011) Piotr Rzepakowski et al.   KNOWLEDGE AND INFORMATION SYSTEMS

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