Sample Size Tables for Clinical Studies

Author:   David Machin ,  Michael J. Campbell ,  Say Beng Tan ,  Sze Huey Tan
Publisher:   John Wiley and Sons Ltd
Edition:   3rd Edition
ISBN:  

9781405146500


Pages:   264
Publication Date:   21 November 2008
Format:   Hardback
Availability:   Awaiting stock   Availability explained


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Sample Size Tables for Clinical Studies


Overview

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. Please go to http://booksupport.wiley.com and enter 9781405146500 to easily download the supporting materials.

Full Product Details

Author:   David Machin ,  Michael J. Campbell ,  Say Beng Tan ,  Sze Huey Tan
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Edition:   3rd Edition
Dimensions:   Width: 20.00cm , Height: 2.00cm , Length: 25.50cm
Weight:   0.644kg
ISBN:  

9781405146500


ISBN 10:   1405146508
Pages:   264
Publication Date:   21 November 2008
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Awaiting stock   Availability explained

Table of Contents

Reviews

Sample Size Tables for Clinical Studies, 3rd Edition provides comprehensive, practical and up-to-date information on sample sizes for clinical studies. (Journal of Clinical Research Best Practices, June 2009)


Author Information

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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Latest Reading Guide

NOV RG 20252

 

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