Sample Size Tables for Clinical Studies by David Machin
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Sample Size Tables for Clinical Studies
By David Machin

Sample Size Tables for Clinical Studies

3rd Revised edition

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Format: Hardback

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Sample Size Tables for Clinical Studies by David Machin

Book Description

This book provides statisticians and researchers with the statistical tools - equations, formulae and numerical tables - to design and plan clinical studies and carry out accurate, reliable and reproducible analysis of the data so obtained. There is no way around this as incorrect procedure in clinical studies means that the researcher's paper will not be accepted by a peer-reviewed journal. Planning and analysing clinical studies is a very complicated business and this book provides indispensible factual information.

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Book Details

ISBN: 9781405146500
ISBN-10: 1405146508
Format: Hardback
(248mm x 195mm x 21mm)
Pages: 264
Imprint: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Publisher: John Wiley and Sons Ltd
Publish Date: 21-Nov-2008
Country of Publication: United Kingdom

Other Editions...


Books By Author David Machin

Visual Journalism by David Machin Visual Journalism, Paperback (February 2015)

A critical and up-to-date overview of visual journalism that combines academic theory with the experiences of practitioners working in the field, drawing on a diverse range of media examples, in order to analyse the significance of appearance and branding in the digital age.

Quality of Life by David Machin Quality of Life, Hardback (November 2014)

The assessment of patient reported outcomes and health-related quality of life continue to be rapidly evolving areas of research and this new edition reflects the development within the field from an emerging subject to one that is an essential part of the assessment of clinical trials and other clinical studies.

» View all books by David Machin

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Author Biography - David Machin

David Machin, Children's Cancer and Leukaemia Group, University of Leicester, UK; Division of Clinical Trials and Epidemiological Sciences, National Cancer Centre, Singapore; Medical Statistics Unit, School of Health and Related Sciences, University of Sheffield, UK Michael J. Campbell, Medical Statistics Unit, School of Health and Related Sciences, University of Sheffield, UK Say Beng Tan, Singapore Clinical Research Institute, Singapore; Duke-NUS Graduate Medical School, Singapore Sze Huey Tan, Division of Clinical Trials and Epidemiological Sciences, National Cancer Centre, Singapore

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