Optimizing treatment allocation in randomized clinical trials by leveraging baseline covariates

Sharp instruments for classifying compliers and generalizing causal effects

(2020) Edward H. Kennedy et al.   ANNALS OF STATISTICS

Double/debiased machine learning for treatment and structural parameters

(2018) Victor Chernozhukov et al.   Econometrics Journal

Machine learning methods for leveraging baseline covariate information to improve the efficiency of clinical trials

(2018) Zhiwei Zhang et al.   STATISTICS IN MEDICINE

Goserelin for Ovarian Protection during Breast-Cancer Adjuvant Chemotherapy

(2015) Halle C.F. Moore et al.   NEW ENGLAND JOURNAL OF MEDICINE

On the covariate-adjusted estimation for an overall treatment difference with data from a randomized comparative clinical trial

(2012) L. Tian et al.   BIOSTATISTICS

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

(2010) Michael Rosenblum et al.  

Handling Covariates in the Design of Clinical Trials

(2009) William F. Rosenberger et al.   STATISTICAL SCIENCE

Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates

(2008) Min Zhang et al.   BIOMETRICS

Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis

(2008) Daniel B Rubin et al.  

Optimum treatment allocation rules under a variance heterogeneity model

(2008) Weng Kee Wong et al.   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