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Item Details
Title: CLUSTER RANDOMISED TRIALS
By: Richard J. Hayes, Lawrence H. Moulton, Byron J. T. Morgan
Format: Hardback

List price: £75.99


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ISBN 10: 1584888164
ISBN 13: 9781584888161
Publisher: TAYLOR & FRANCIS INC
Pub. date: 12 January, 2009
Series: Chapman & Hall/CRC Biostatistics Series
Pages: 338
Description: Covers the design, analysis, and conduct of health intervention trails in which groups or clusters of individuals are randomized to different conditions. This book uses case studies to illustrate methods and Stata code based on real-world datasets to demonstrate analytical methods.
Synopsis: Cluster Randomised Trials discusses the design, conduct, and analysis of health trials that randomise groups of individuals to different treatments. It explores the advantages of cluster randomization, with special attention given to evaluating the effects of interventions against infectious diseases. Avoiding unnecessary mathematical detail, the book covers basic concepts underlying the use of cluster randomisation, such as direct, indirect, and total effects. The authors also present an array of design issues in cluster randomised trials (CRTs), including strategies for minimizing contamination effects, the use of stratification and restricted randomisation to improve balance between treatment arms, special methods for sample size calculation, and alternatives to the simplest two-arm CRT. After covering analytical methods for CRTs, such as regression methods, the authors examine ethical issues, trial monitoring, interim analyses, reporting, and interpretation.Although the book mainly focuses on medical and public health applications, it shows that the rigorous evidence of intervention effects provided by CRTs has the potential to inform public policy in a wide range of other areas. The book encourages readers to apply the methods to their own trials, reproduce the analyses presented, and explore alternative approaches.
Illustrations: 22 black & white illustrations
Publication: US
Imprint: Chapman & Hall/CRC
Returns: Returnable
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