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