Design and Analysis of Cluster Randomization Trials in Health Research

By William W. Davis. 2001

1,686 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/800795f3b5dcc259d90ae854935ef02df3087115

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Citations in the corpus

Unbiased Estimation of the Average Treatment Effect in Cluster-Randomized Experiments (2015, methodology): “Although extensively studied under the model-based paradigm (see, e.g., Donner and Klar, 2000), comparatively little attention has been based to designs with complete randomization of clusters under the design-based paradigm.”
Strategies for Improving Precision in Group-Randomized Experiments (2007, methodology): “Several authors have provided useful accounts of the trade-offs that arise in selecting alternative designs and analytic methods in group-randomized trials (for reviews, see Bloom, 2005; Donner & Klar, 2000; Hughes, 2005; Martin, Diehr, Perrin, & Koepsell, 1993; Murray, 1998; Raudenbush, 1997).”
The Implications of “Contamination” for Experimental Design in Education (2011, methodology): “One argument frequently advanced in favor of the CR design is its potential to minimize contamination effects (Donner & Klar, 2000).”
Design and analysis of stepped wedge cluster randomized trials. (2007, neutral): “[9,10]).”
The Design of Cluster Randomized Crossover Trials (2011, methodology): “That is, either individual subjects within clusters are randomly allocated to the conditions or complete clusters of subjects are randomly assigned (Donner & Klar, 2000).”
Error Rates in Measuring Teacher and School Performance Based on Student Test Score Gains (2010, background): “…in ( 3 ) , this null hypothesis can be tested using the z - score The first bracketed term in ( 7 ) is the variance of a teacher - level mean , and is the standard variance formula for a sample mean under a clustered design ( see , for example , Cochran 1963 ; Murray 1998 ; Donner and Klar 2000 ) .”
The Power of the Test for Treatment Effects in Three-Level Cluster Randomized Designs (2008, background): “Designs that assign intact groups to treatments are often called cluster randomized, or group randomized, or hierarchcial designs (see Bloom, 2005 ; Donner & Klaar, 2000 ; Kirk, 1995 ; Murray, 1998 ).”
Intermediate and advanced topics in multilevel logistic regression analysis (2017, methodology): “Note that these methods for calculating the VPC differ from methods for estimating the ICC in a cluster-randomized trial with a binary outcome [28].”
Correcting a Significance Test for Clustering (2007, background): “For example, chapter 5 of Donner and Klar (2000) provides references to many reports of intraclass correlations for health outcomes. Some information about reasonable values of r comes from cluster-randomized trials that have been conducted. For example, Murray and Blitstein (2003) reported a summar”
Extension of the modified Poisson regression model to prospective studies with correlated binary data (2013, methodology): “Correlated binary outcomes commonly arise from longitudinal studies in which each subject is followed over time,(17) or from cluster randomization studies in which intact social units are randomly allocated to different interventions.(18,19) The purpose of this article is to extend the modified Pois”
The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation (2009, background): “For political, ethical or administrative reasons, researchers conducting field experiments are often unable to randomize treatment assignment to individuals and so instead randomize treatments to clusters of individuals (Murray, 1998; Donner and Klar, 2000a; Raudenbush, Martinez and Spybrook, 2007).”
Intraclass Correlation Values for Planning Group-Randomized Trials in Education (2007, methodology): “Methods for the design and analysis of group-randomized trials have been discussed extensively by Donner and Klar (2000) and Murray (1998).”