Targeted estimation and inference for the sample average treatment effect in trials with and without pair-matching

From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects

(2015) Erin Hartman et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

tmle: AnRPackage for Targeted Maximum Likelihood Estimation

(2015) Susan Gruber et al.   Journal of Statistical Software

Adaptive pair-matching in randomized trials with unbiased and efficient effect estimation

(2014) Laura B. Balzer et al.   STATISTICS IN MEDICINE

Inverse probability weighting for covariate adjustment in randomized studies

(2013) Changyu Shen et al.   STATISTICS IN MEDICINE

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

Optimal Nonbipartite Matching and Its Statistical Applications

(2011) Bo Lu et al.   AMERICAN STATISTICIAN

Generalizing Evidence From Randomized Clinical Trials to Target Populations: The ACTG 320 Trial

(2010) S. R. Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Simple, Efficient Estimators of Treatment Effects in Randomized Trials Using Generalized Linear Models to Leverage Baseline Variables

(2010) Michael Rosenblum et al.  

The use of propensity scores to assess the generalizability of results from randomized trials

(2010) Elizabeth A. Stuart et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Comment: The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation

(2009) Kai Zhang et al.   STATISTICAL SCIENCE

The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation

(2009) Kosuke Imai et al.   STATISTICAL SCIENCE

Variance identification and efficiency analysis in randomized experiments under the matched-pair design

(2008) Kosuke Imai   STATISTICS IN MEDICINE

Covariate adjustment in randomized trials with binary outcomes: Targeted maximum likelihood estimation

(2008) K. L. Moore et al.   STATISTICS IN MEDICINE

Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

(2007) Anastasios A. Tsiatis et al.   STATISTICS IN MEDICINE