Medical Statistics. David Machin

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Medical Statistics GroupSchool of Health and Related ResearchUniversity of SheffieldSheffield, UK

       Michael J. Campbell

       Medical Statistics GroupSchool of Health and Related ResearchUniversity of SheffieldSheffield, UK

       David Machin

       Medical Statistics GroupSchool of Health and Related ResearchUniversity of SheffieldLeicester Cancer Research CentreUniversity of LeicesterLeicester, UK

      This edition first published 2021

      © 2021 John Wiley & Sons Ltd

      Edition History John Wiley & Sons Ltd (4e, 2007)

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

      The right of Stephen J. Walters, Michael J. Campbell, and David Machin to be identified as the authors of this work has been asserted in accordance with law.

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       Library of Congress Cataloging‐in‐Publication Data

      Names: Campbell, Michael J., 1950- author. | Walters, Stephen John, author. | Machin, David, 1939– author.

      Title: Medical statistics : a textbook for the health sciences / Stephen J. Walters, Michael J. Campbell, David Machin.

      Description: Fifth edition. | Hoboken, NJ : Wiley-Blackwell, 2021. | Michael J. Campbell's name appears first in earlier editions. | Includes bibliographical references and index.

      Identifiers: LCCN 2020029691 (print) | LCCN 2020029692 (ebook) | ISBN 9781119423645 (paperback) | ISBN 9781119423669 (adobe pdf) | ISBN 9781119423652 (epub)

      Subjects: MESH: Biometry–methods | Research Design | Statistics as Topic

      Classification: LCC R853.S7 (print) | LCC R853.S7 (ebook) | NLM WA 950 | DDC 610.72/7–dc23

      LC record available at https://lccn.loc.gov/2020029691 LC ebook record available at https://lccn.loc.gov/2020029692

      Cover Design: Wiley

      Cover Images: Doctor taking patients blood pressure in examination room, © Hero Images/Getty Images; Cardiogram of heart on paper, © Shevchuk Boris/ Getty Images; Crowded Istiklal street in Istanbul, © Todor Tsvetkov/Getty Images

      It is more than 13 years since the last edition of Medical Statistics: A Textbook for the Health Sciences was published and it has proven to be popular. This preface outlines the major changes and updates made since that edition was published.

      All the chapters have been revised and updated. With simpler statistical methods it is useful to be able to carry out an analysis for oneself, to help fully understand its usefulness and its limitations. However, with the advent of public domain software for the analysis of data, ever more complex statistical methods are available to the researcher. These advanced methods have been incorporated in many elementary medical statistics syllabuses. A student today needs to understand the application and limitations of these methods to be able to fully evaluate articles in many main stream medical journals. To this end we have introduced new chapters on diagnostic tests, linear modelling, logistic modelling and a further one covering briefly more advanced topics such as random effects modelling and Poisson regression. At all times the emphasis is on understanding why such techniques should be used, their limitations, and how the results of such analyses are to be displayed.

      Since the last edition, medical statistics has faced a number of challenges. One of the main ones is the problem of replication. A study is published, with a significant P‐value, but another study addressing the same research question fails to replicate this result. This can often cause consternation amongst among readers of research. We discuss this issue in Chapter 18 on Meta‐analysis. A related issue is the mis‐use of P‐values. This has been a major discussion point in the research community and we include this in our coverage of P‐values in Chapter 6.

      We have found that quizzes within lectures are a useful method of consolidating a student's understanding of a topic. Each chapter contains a new set of multiple‐choice questions that can

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