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Design and Analysis of Cluster Randomization Trials in Health Research (Hodder Arnold Publication)
Allan Donner
,
Neil Klar
A Hodder Arnold Publication
, 2000 - 192 pages
average customer review:
based on 2 reviews
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my faverite book .
i love this book it is so good.my father wrote this book.my name is even in it.i am ten years old.but if you like epidiniology and biostatistcks you'll love this book. (...)
A GREAT book, for the right audience
I am an epidemiologist responsible for
design
ing and overseeing implementation,
analysis
and reporting of a number of
cluster
randomized
health intervention
trials
in developing countries. I found this book absolutely terrific for several reasons. First, the scope of the book is broad. This is not just a compilation of statistical methods. The authors discuss the rationale for cluster
randomization
, its historic development, specific issues that arise in planning the studies, securing informed consent and other ethical issues affected by cluster design. The final chapter reviews the central themes of the book in discussing how to fully report a cluster randomized trial. Throughout these chapters the authors describe both the theoretical issues raised, as well as practical solutions. Second, the book represents a succinct and collected discussion of the relevant issues. As a non-statistician, I don't read the primary statistical literature. I do read health intervention studies that employ a cluster randomized method. I may attend an occasional short seminar on cluster design, or discuss particular issues with collaborating statisticians, but until I read this book, I felt I was freelancing each design and analysis issue. After reading the book I have exposure to the whole paradigm. I can understand the design and analysis choices, make better decisions, and make consultations with my collaborating statisticians more focused and productive. Third, options for analysis, including their assumptions, advantages and disadvantages, as well as methods for calculating sample size are systematically presented. This directly empowers the reader to make balanced and sound decisions about appropriate study size and analytic approach. Fourth, the book is readable. The ideas, at times, are quite dense, but because of the abundant use of practical examples, the authors consistently communicate their message clearly. I hesitated to buy this book for months, because of the price tag for a 178 page book of unknown quality. After reading it, I am convinced that a short course would not have taught me as much. Moreover I now have a reference book that I can use in thinking through each of the issues for my studies, for teaching my epidemiological trainees, and for citing when writing manuscripts. In short, a GREAT book for the right audience.
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A
cluster
randomization
trail 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 programs and innovations in the provision of
health care
. The units of randomization in such studies are diverse, ranging from relatively small clusters such as families or households, to entire neighborhoods or communities, but also encompassing workplaces, hospital wards, classrooms and medical practices. 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 book is the first to present a systematic and unified treatment of this topic; it contains distinctive chapters on the history of cluster randomized trials, ethical issues, meta-
analysis
and guidelines. Written by two of the leading authorities in the field, this book is an essential reference text for investigators in the planning or analysis stages of a study. It is also highly suitable for use as a textbook in a graduate-level course in research methodology, and is aimed at biostatisticians, epidemiologists, health service researchers and public health professionals.
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