Defining and estimating effects in cluster randomized trials: A methods comparison

Two weights make a wrong: Cluster randomized trials with variable cluster sizes and heterogeneous treatment effects

(2022) Xueqi Wang et al.   Contemporary Clinical Trials

A mid-level health manager intervention to promote uptake of isoniazid preventive therapy among people with HIV in Uganda: a cluster randomised trial

(2022) Elijah Kakande et al.   Lancet HIV

Machine Learning in Causal Inference: How do I love thee? Let me count the ways.

(2021) Laura B Balzer et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Model‐assisted analyses of cluster‐randomized experiments

(2021) Fangzhou Su et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

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

(2021) Laura B Balzer et al.   BIOSTATISTICS

Clarifying selection bias in cluster randomized trials

(2021) Fan Li et al.   Clinical Trials

Far from MCAR

(2020) Laura B. Balzer et al.   EPIDEMIOLOGY

Effect of a quality improvement package for intrapartum and immediate newborn care on fresh stillbirth and neonatal mortality among preterm and low-birthweight babies in Kenya and Uganda: a cluster-randomised facility-based trial

(2020) Dilys Walker et al.   Lancet Global Health

Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes

(2020) David Benkeser et al.   BIOMETRICS

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

“All Generalizations Are Dangerous, Even This One.”—Alexandre Dumas

(2017) Laura B. Balzer   EPIDEMIOLOGY

An evaluation of constrained randomization for the design and analysis of group-randomized trials with binary outcomes

(2017) Fan Li et al.   STATISTICS IN MEDICINE

Improved Designs for Cluster Randomized Trials

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

Statistical lessons learned for designing cluster randomized pragmatic clinical trials from the NIH Health Care Systems Collaboratory Biostatistics and Design Core

(2016) Andrea J Cook et al.   Clinical Trials

Impact Evaluation of PRONTO Mexico

(2016) Dilys M. Walker et al.   Simulation in Healthcare-Journal of the Society for Simulation in Healthcare

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

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

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

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

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

(2016) Mallorie H. Fiero et al.   Trials

An evaluation of constrained randomization for the design and analysis of group-randomized trials

(2015) Fan Li et al.   STATISTICS IN MEDICINE

Effect of breastfeeding on gastrointestinal infection in infants: A targeted maximum likelihood approach for clustered longitudinal data

(2014) Mireille E. Schnitzer et al.   Annals of Applied Statistics

Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines

(2014) Karla Díaz-Ordaz et al.   Clinical Trials

Causal Models and Learning from Data

(2014) Maya L. Petersen et al.   EPIDEMIOLOGY

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

Propensity score methods for estimating relative risks in cluster randomized trials with low-incidence binary outcomes and selection bias

(2014) Clémence Leyrat et al.   STATISTICS IN MEDICINE

Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes

(2014) Peng Li et al.   STATISTICS IN MEDICINE

Review of methods for handling confounding by cluster and informative cluster size in clustered data

(2014) Shaun Seaman et al.   STATISTICS IN MEDICINE

Designing the WHO Safe Childbirth Checklist program to improve quality of care at childbirth

(2013) Jonathan M. Spector et al.   INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS

Inference on the marginal distribution of clustered data with informative cluster size

(2013) Jaakko Nevalainen et al.   STATISTICAL PAPERS

Propensity scores used for analysis of cluster randomized trials with selection bias: a simulation study

(2013) C. Leyrat et al.   STATISTICS IN MEDICINE

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

Intracluster correlation coefficients and coefficients of variation for perinatal outcomes from five cluster-randomised controlled trials in low and middle-income countries: results and methodological implications

(2011) Christina Pagel et al.   Trials

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.  

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

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

(2008) Daniel B Rubin et al.  

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