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Design and Analysis of Cluster Randomization Trials in Health Research

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ISBN-10: 0470711000

ISBN-13: 9780470711002

Edition: 2010

Authors: Allan Donner, Neil S. Klar

List price: $123.95
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A cluster randomization trial is one in which intact social units, or clusters of individuals, are randomized to different intervention groups. Trials randomizing clusters have become particularly widespread in the evaluation of non-therapeutic interventions, including lifestyle modification, educational programmes and innovations in the provision of health care. The increasing popularity of this design among health researchers over the past two decades has led to an extensive body of methodology on the subject. This is the first book to present a systematic and united treatment of this topic; it contains distinctive chapters on the history of cluster randomized trials, ethical issues and…    
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Book details

List price: $123.95
Copyright year: 2010
Publisher: John Wiley & Sons, Limited
Publication date: 7/28/2000
Binding: Hardcover
Pages: 194
Size: 6.25" wide x 9.00" long x 0.50" tall
Weight: 0.990
Language: English

Why randomize clusters?
What is the impact of cluster randomization on the design and analysis of a trial?
Quantifying the effect of clustering
Randomized versus non-randomized comparisons
The unit of inference
Terminology: what's in a name?
The historical development of cluster randomized trials
Randomized trials before 1950
Cluster randomized trials between 1950 and 1978
Cluster randomized trails since 1978
Issues arising in the planning of cluster randomization trials
Selecting interventions
Setting eligibility criteria
Measuring subject response
The most commonly used experimental designs
Factorial and crossover designs
Selecting an experimental design
The importance of cluster-level replication
Strategies for conducting successful trials
The role of informed consent and other ethical issues
The risk of harm
Informed consent
Subject blindness and informed consent
Randomized consent designs
Ethical issues and trial monitoring
Sample size estimation for cluster randomization designs
General issues of sample size estimation
The completely randomized design
The matched-pair design
The stratified design
Issues involving losses to follow-up
Strategies for achieving desired power
Analysis of binary outcomes
Selecting the unit of analysis
The completely randomized design
The matched-pair design
The stratified design
Analysis of quantitative outcomes
The completely randomized design
The matched-pair design
The stratified design
Analysis of count, time to event and categorical outcomes
Count and time to event data
Categorical data
Reporting of cluster randomization trials
Reporting of study design
Reporting of study results