Individual participant data meta-analysis: a handbook for healthcare research
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2021
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| Schriftenreihe: | Statistics in practice
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | ix, 550 Seiten Illustrationen, Diagramme |
| ISBN: | 9781119333722 |
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Datensatz im Suchindex
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Contents Acknowledgements 1 ix Individual Participant Data Meta-Analysis for Healthcare Research Richard D. Riley, Lesley A. Stewart, and Jayne F. Tierney Part I Rationale, Planning, and Conduct 1 7 2 Rationale for Embarking on an IPD Meta-Analysis Project 9 Jayne F. Tierney, Richard D. Riley, Catrin Tudur Smith, Mike Clarke, and Lesley A. Stewart 3 Planning and Initiating an IPD Meta-Analysis Project 21 Lesley A. Stewart, Richard D. Riley, and Jayne F. Tierney 4 Running an IPD Meta-Analysis Project: From Developing the Protocol to Preparing Data for Meta-Analysis 45 Jayne F. Tierney, Richard D. Riley, Larysa H.M. Rydzewska, and Lesley A. Stewart References Part II 5 81 Fundamental Statistical Methods and Principles The Two-stage Approach to IPD Meta-Analysis 87 89 Richard D. Riley, Thomas P.A. Debray, Tim P. Morris, and Dan Jackson 6 The One-stage Approach to IPD Meta-Analysis 127 Richard D. Riley and Thomas P.A. Debray 7 Using IPD Meta-Analysis to Examine Interactions between Treatment Effect and Participant-level Covariates 163 Richard D. Riley and David J. Fisher 8 One-stage versus Two-stage Approach to IPD Meta-Analysis: Differences and Recommendations 199 Richard D. Riley, Danielle L. Burke, and Tim Morris References 219
Contents Part III 9 Critical Appraisal and Dissemination 237 Examining the Potential for Bias in IPD Meta-Analysis Results Richard D. Riley, Jayne F. Tierney, and Lesley A. Stewart 239 10 Reporting and Dissemination of IPD Meta-Analyses 253 Lesley A. Stewart, Richard D. Riley, and Jayne F. Tierney 11 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 References Part IV 12 13 271 285 Special Topics in Statistics 291 Power Calculations for Planning an IPD Meta-Analysis Richard D. Riley and Joie Ensor Multivariate Meta-Analysis Using IPD 293 311 Richard D. Riley, Dan Jackson, and Ian R. White 14 Network Meta-Analysis Using IPD 347 Richard D. Riley, David Μ. Phillippo, and Sofia Dias References Part V 15 375 Diagnosis, Prognosis and Prediction IPD Meta-Analysis for Test Accuracy Research 387 389 Richard D. Riley, Brooke Levis, and Yemisi Takwoingi 16 IPD Meta-Analysis for Prognostic Factor Research 421 Richard D. Riley, Karel G.M. Moons, and Thomas P.A. Debray 17 IPD Meta-Analysis for Clinical Prediction Model Research 447 Richard D. Riley, Kym I.E. Snell, Laure Wynants, Valentijn M.T. de Jong, Karel G.M. Moons, and Thomas PA. Debray 18 Dealing with Missing Data in an IPD Meta-Analysis 499 Thomas PA. Debray, Kym LE. Snell, Matteo Quartagno, Shahab Jolani, Karel G.M. Moons, and Richard D. Riley References Index 543 525
Individual Participant Data Meta-Analysis: A Handbookfor Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: • • • • • • • • • Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review Recognise the scope, resources and challenges of IPD meta-analysis projects Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators Understand how to
obtain, check, manage and harmonise IPD from multiple studies Examine risk of bias (quality) of IPD and minimise potential biases throughout the project Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research Critically appraise existing IPD meta-analysis projects Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout. |
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| title | Individual participant data meta-analysis a handbook for healthcare research |
| title_auth | Individual participant data meta-analysis a handbook for healthcare research |
| title_exact_search | Individual participant data meta-analysis a handbook for healthcare research |
| title_exact_search_txtP | Individual participant data meta-analysis a handbook for healthcare research |
| title_full | Individual participant data meta-analysis a handbook for healthcare research edited by Richard D. Riley, Jayne F. Tierney, Lesley A. Stewart |
| title_fullStr | Individual participant data meta-analysis a handbook for healthcare research edited by Richard D. Riley, Jayne F. Tierney, Lesley A. Stewart |
| title_full_unstemmed | Individual participant data meta-analysis a handbook for healthcare research edited by Richard D. Riley, Jayne F. Tierney, Lesley A. Stewart |
| title_short | Individual participant data meta-analysis |
| title_sort | individual participant data meta analysis a handbook for healthcare research |
| title_sub | a handbook for healthcare research |
| topic | Gesundheitswesen (DE-588)4020775-4 gnd Metaanalyse (DE-588)4169552-5 gnd Randomisierung (DE-588)4280827-3 gnd Statistisches Modell (DE-588)4121722-6 gnd |
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