Individual Participant Data Meta-Analysis. Группа авторов

Individual Participant Data Meta-Analysis - Группа авторов


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      A Handbook for Healthcare Research

       Edited by

      Richard D. Riley

       Keele University

       Keele, UK

      Jayne F. Tierney

       MRC Clinical Trials Unit at UCL

       London, UK

      Lesley A. Stewart

       University of York

       York, UK

      This edition first published 2021

      © 2021 John Wiley & Sons Ltd

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      The right of Richard D. Riley, Jayne F. Tierney, and Lesley A. Stewart to be identified as the authors of the editorial material in this work has been asserted in accordance with law.

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       Library of Congress Cataloging‐in‐Publication Data

      Names: Riley, Richard D., editor. | Tierney, Jayne F., editor. | Stewart, Lesley A., editor.

      Title: Individual participant data meta-analysis : a handbook for healthcare research / edited by Richard D. Riley, Jayne F. Tierney, Lesley A. Stewart.

      Other titles: Statistics in practice.

      Description: Hoboken, NJ : Wiley, 2021. | Series: Wiley series in statistics in practice | Includes bibliographical references and index. | Contents: Individual Participant Data Meta‐Analysis for Healthcare Research / Richard D. Riley, Lesley A. Stewart, Jayne F. Tierney – Rationale for Embarking on an IPD Meta-Analysis Project / Jayne F. Tierney, Richard D. Riley, Catrin Tudur Smith, Mike Clarke, and Lesley A. Stewart – Planning and Initiating an IPD Meta-Analysis Project / Lesley A. Stewart, Richard D. Riley, and Jayne F. Tierney – Running an IPD Meta-Analysis Project : From Developing the Protocol to Preparing Data for Metaanalysis / Jayne F. Tierney, Richard D. Riley, Larysa H.M. Rydzewska, and Lesley A. Stewart – The Two-stage Approach to IPD Meta-Analysis / Richard D. Riley, Thomas P.A. Debray, Tim P. Morris, and Dan Jackson – The One-stage Approach to IPD Meta-Analysis / Richard D. Riley and Thomas P.A. Debray – Using IPD Meta-Analysis to Examine Interactions between Treatment Effect and Participant-level Covariates / Richard D. Riley and David J. Fisher – One-stage versus Two-stage Approach to IPD Meta-Analysis : Differences and Recommendations / Richard D. Riley, Danielle L. Burke, and Tim Morris – Examining the Potential for Bias in IPD Meta-Analysis Results / Richard D. Riley, Jayne F. Tierney, and Lesley A. Stewart – Reporting and Dissemination of IPD Meta-Analyses / Lesley A. Stewart, Richard D. Riley, and Jayne F. Tierney – A Tool for the Critical Appraisal of IPD Meta-Analysis Projects (CheckMAP) / Jayne F. Tierney, Lesley A. Stewart, Claire L. Vale, and Richard D. Riley – Power Calculations for Planning an IPD Meta-Analysis / Richard D. Riley and Joie Ensor – Multivariate Meta-Analysis Using IPD / Richard D. Riley, Dan Jackson, and Ian R. White – Network Meta-Analysis Using IPD / Richard D. Riley, David M Phillippo, and Sofia Dias – IPD Meta-Analysis for Test Accuracy Research / Richard D. Riley, Brooke Levis, and Yemisi Takwoingi – IPD Meta-Analysis for Prognostic Factor Research / Richard D. Riley, Karel G.M. Moons, and Thomas P.A. Debray – IPD Meta-Analysis for Clinical Prediction Model Research / Richard D. Riley, Kym I.E. Snell, Laure Wynants, Valentijn M.T. de Jong, Karel G.M. Moons, and Thomas P.A. Debray – Dealing with Missing Data in an IPD Meta-Analysis / Thomas P.A. Debray, Kym I.E. Snell, Matteo Quartagno, Shahab Jolani, Karel G.M. Moons, and Richard D. Riley.

      Identifiers: LCCN 2021000638 (print) | LCCN 2021000639 (ebook) | ISBN 9781119333722 (cloth) | ISBN 9781119333760 (adobe pdf) | ISBN 9781119333753 (epub) | ISBN 9781119333784 (oBook)

      Subjects: MESH: Meta-Analysis as Topic | Data Interpretation, Statistical | Models, Statistical | Randomized Controlled Trials 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/2021000638 LC ebook record available at https://lccn.loc.gov/2021000639

      Cover Design: Wiley

      Cover Image: © Zaie/Shutterstock

       To Lorna, Sebastian and ImogenTo Phil and EllieTo Simon, Catriona and Kirstin

      The Editors would like to acknowledge the support of their colleagues in their host institutions and departments: the School of Medicine, Keele University; the Centre for Reviews and Dissemination, University of York; and the MRC Clinical Trials Unit at University College London. Particular thanks to Lucinda Archer, John Allotey, Sarah Burdett, Thomas Debray,


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