Related references
Note: Only part of the references are listed.Review of Recent Methodological Developments in Group-Randomized Trials: Part 2-Analysis
Elizabeth L. Turner et al.
AMERICAN JOURNAL OF PUBLIC HEALTH (2017)
Review of Recent Methodological Developments in Group-Randomized Trials: Part 1-Design
Elizabeth L. Turner et al.
AMERICAN JOURNAL OF PUBLIC HEALTH (2017)
Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters
Whitney P. Ford et al.
BIOMETRICAL JOURNAL (2017)
An evaluation of constrained randomization for the design and analysis of group-randomized trials
Fan Li et al.
STATISTICS IN MEDICINE (2016)
Comparing denominator degrees of freedom approximations for the generalized linear mixed model in analyzing binary outcome in small sample cluster-randomized trials
Peng Li et al.
BMC MEDICAL RESEARCH METHODOLOGY (2015)
A review of the use of covariates in cluster randomized trials uncovers marked discrepancies between guidance and practice
Neil Wright et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2015)
Pragmatic Cluster Randomized Trials Using Covariate Constrained Randomization: A Method for Practice-based Research Networks (PBRNs)
L. Miriam Dickinson et al.
JOURNAL OF THE AMERICAN BOARD OF FAMILY MEDICINE (2015)
Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes
Peng Li et al.
STATISTICS IN MEDICINE (2015)
Strategies and Opportunities to STOP Colon Cancer in Priority Populations: Design of a cluster-randomized pragmatic trial
Gloria D. Coronado et al.
CONTEMPORARY CLINICAL TRIALS (2014)
On small-sample inference in group randomized trials with binary outcomes and cluster-level covariates
Philip M. Westgate
BIOMETRICAL JOURNAL (2013)
The best balance allocation led to optimal balance in cluster-controlled trials
Esther de Hoop et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2012)
Allocation techniques for balance at baseline in cluster randomized trials: a methodological review
Noah M. Ivers et al.
TRIALS (2012)
The Intra-Cluster Correlation Coefficient in Cluster Randomized Trials: A Review of Definitions
Sandra M. Eldridge et al.
INTERNATIONAL STATISTICAL REVIEW (2009)
A comparison of two bias-corrected covariance estimators for generalized estimating equations
Bing Lu et al.
BIOMETRICS (2007)
A comparison of the statistical power of different methods for the analysis of cluster randomization trials with binary outcomes
Peter C. Austin
STATISTICS IN MEDICINE (2007)
A comparison of permutation and mixed-model regression methods for the analysis of simulated data in the context of a group-randomized trial
DM Murray et al.
STATISTICS IN MEDICINE (2006)
Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements
AV Hernández et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2004)
Design and analysis of group-randomized trials: A review of recent methodological developments
DM Murray et al.
AMERICAN JOURNAL OF PUBLIC HEALTH (2004)
Pitfalls of and controversies in cluster randomization trials
A Donner et al.
AMERICAN JOURNAL OF PUBLIC HEALTH (2004)
Methods to reduce the impact of intraclass correlation in group-randomized trials
DM Murray et al.
EVALUATION REVIEW (2003)
Small sample correction for the variance of GEE estimators
JG Morel et al.
BIOMETRICAL JOURNAL (2003)
Small-sample adjustments in using the sandwich variance estimator in generalized estimating equations
W Pan et al.
STATISTICS IN MEDICINE (2002)
Optimal permutation tests for the analysis of group randomized trials
TM Braun et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)
A note on the efficiency of sandwich covariance matrix estimation
G Kauermann et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)
Small-sample adjustments for Wald-type tests using sandwich estimators
MP Fay et al.
BIOMETRICS (2001)
A covariance estimator for GEE with improved small-sample properties
LA Mancl et al.
BIOMETRICS (2001)
How to select covariates to include in the analysis of a clinical trial
GM Raab et al.
CONTROLLED CLINICAL TRIALS (2000)