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„Overall, the reviewers are enthusiastic about the book. The authors have covered all important areas of cRCTs, using a practical and pragmatic approach to the topic. The code is helpful for the practical implementation of the examples. The material is simple to understand, which will appeal to applied researchers, not only to biostatisticians. As such, we clearly recommend this book to all researchers interested in cRCTs. For biostatisticians involved in cRCTs and investigators of cRCTs, it is a must-have on the bookshelf.“ (Biometrical Journal, 1 May 2015)
How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research
von Michael J. Campbell und Stephen J. WaltersA complete guide to understanding cluster randomised trials
Written by two researchers with extensive experience in thefield, this book presents a complete guide to the design, analysisand reporting of cluster randomised trials. It spans a wide rangeof applications: trials in developing countries, trials in primarycare, trials in the health services. A key feature is the use of Rcode and code from other popular packages to plan and analysecluster trials, using data from actual trials. The bookcontains clear technical descriptions of the models used, andconsiders in detail the ethics involved in such trials and theproblems in planning them. For readers and students who do notintend to run a trial but wish to be a critical reader of theliterature, there are sections on the CONSORT statement, andexercises in reading published trials.
* Written in a clear, accessible style
* Features real examples taken from the authors' extensivepractitioner experience of designing and analysing clinicaltrials
* Demonstrates the use of R, Stata and SPSS for statisticalanalysis
* Includes computer code so the reader can replicate all theanalyses
* Discusses neglected areas such as ethics and practical issuesin running cluster randomised trials
How to Design, Analyse and Report Cluster Randomised Trialsin Medicine and Health Related Research provides an excellentreference tool and can be read with profit by statisticians, healthservices researchers, systematic reviewers and critical readers ofcluster randomised trials.
Written by two researchers with extensive experience in thefield, this book presents a complete guide to the design, analysisand reporting of cluster randomised trials. It spans a wide rangeof applications: trials in developing countries, trials in primarycare, trials in the health services. A key feature is the use of Rcode and code from other popular packages to plan and analysecluster trials, using data from actual trials. The bookcontains clear technical descriptions of the models used, andconsiders in detail the ethics involved in such trials and theproblems in planning them. For readers and students who do notintend to run a trial but wish to be a critical reader of theliterature, there are sections on the CONSORT statement, andexercises in reading published trials.
* Written in a clear, accessible style
* Features real examples taken from the authors' extensivepractitioner experience of designing and analysing clinicaltrials
* Demonstrates the use of R, Stata and SPSS for statisticalanalysis
* Includes computer code so the reader can replicate all theanalyses
* Discusses neglected areas such as ethics and practical issuesin running cluster randomised trials
How to Design, Analyse and Report Cluster Randomised Trialsin Medicine and Health Related Research provides an excellentreference tool and can be read with profit by statisticians, healthservices researchers, systematic reviewers and critical readers ofcluster randomised trials.
