Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials

Far from MCAR

(2020) Laura B. Balzer et al.   EPIDEMIOLOGY

HIV Testing and Treatment with the Use of a Community Health Approach in Rural Africa

(2019) Diane V. Havlir et al.   NEW ENGLAND JOURNAL OF MEDICINE

Essential Ingredients and Innovations in the Design and Analysis of Group-Randomized Trials

(2019) David M. Murray et al.   Annual Review of Public Health

Design and analysis of group-randomized trials in cancer: A review of current practices

(2018) David M. Murray et al.   PREVENTIVE MEDICINE

A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure

(2018) Laura B Balzer et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Estimating and Testing Vaccine Sieve Effects Using Machine Learning

(2018) David Benkeser et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Missing binary outcomes under covariate-dependent missingness in cluster randomised trials

(2017) Anower Hossain et al.   STATISTICS IN MEDICINE

Improved Designs for Cluster Randomized Trials

(2016) Catherine M. Crespi   Annual Review of Public Health

Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster-randomized trials with missing outcomes

(2016) Melanie Prague et al.   BIOMETRICS

Missing continuous outcomes under covariate dependent missingness in cluster randomised trials

(2016) Anower Hossain et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Adaptive pre-specification in randomized trials with and without pair-matching

(2016) Laura B. Balzer et al.   STATISTICS IN MEDICINE

Increased risk of type I errors in cluster randomised trials with small or medium numbers of clusters: a review, reanalysis, and simulation study

(2016) Brennan C. Kahan et al.   Trials

Statistical analysis and handling of missing data in cluster randomized trials: a systematic review

(2016) Mallorie H. Fiero et al.   Trials

Leveraging prognostic baseline variables to gain precision in randomized trials

(2015) Elizabeth Colantuoni et al.   STATISTICS IN MEDICINE

Locally Efficient Estimation of Marginal Treatment Effects When Outcomes Are Correlated: Is the Prize Worth the Chase?

(2014) Alisa Stephens et al.  

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

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

Flexible covariate-adjusted exact tests of randomized treatment effects with application to a trial of HIV education

(2013) Alisa J. Stephens et al.   Annals of Applied Statistics

Characteristics of Cluster Randomized Trials: Are They Living Up to the Randomized Trial?

(2013) Senthil Selvaraj et al.   JAMA Internal Medicine

Targeted Minimum Loss Based Estimator that Outperforms a given Estimator

(2012) Susan Gruber et al.  

Augmented generalized estimating equations for improving efficiency and validity of estimation in cluster randomized trials by leveraging cluster-level and individual-level covariates

(2012) Alisa J. Stephens et al.   STATISTICS IN MEDICINE

To GEE or Not to GEE

(2010) Alan E. Hubbard et al.   EPIDEMIOLOGY

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

(2010) Michael Rosenblum et al.  

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

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