{"product_id":"individual-participant-data-meta-analysis-hardcover","title":"Individual Participant Data Meta-Analysis - Hardcover","description":"\u003cp\u003eby \u003cb\u003eRichard D. Riley\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eIndividual Participant Data Meta-Analysis: A Handbook for Healthcare Research\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eSplit 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.\u003c\/p\u003e \u003cp\u003eIntended for a broad audience, the book will enable the reader to: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the advantages of the IPD approach and decide when it is needed over a conventional systematic review\u003c\/li\u003e \u003cli\u003eRecognise the scope, resources and challenges of IPD meta-analysis projects\u003c\/li\u003e \u003cli\u003eAppreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators\u003c\/li\u003e \u003cli\u003eUnderstand how to obtain, check, manage and harmonise IPD from multiple studies\u003c\/li\u003e \u003cli\u003eExamine risk of bias (quality) of IPD and minimise potential biases throughout the project\u003c\/li\u003e \u003cli\u003eUnderstand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them\u003c\/li\u003e \u003cli\u003eClearly report and disseminate IPD meta-analyses to inform policy, practice and future research\u003c\/li\u003e \u003cli\u003eCritically appraise existing IPD meta-analysis projects\u003c\/li\u003e \u003cli\u003eAddress 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\u003c\/li\u003e \u003c\/ul\u003e Detailed examples and case studies are provided throughout.\u003ch3\u003eFront Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eIndividual Participant Data Meta-Analysis: A Handbook for Healthcare Research\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003eSplit 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.\u003c\/p\u003e\u003cp\u003eIntended for a broad audience, the book will enable the reader to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the advantages of the IPD approach and decide when it is needed over a conventional systematic review\u003c\/li\u003e\n\u003cli\u003eRecognise the scope, resources and challenges of IPD meta-analysis projects\u003c\/li\u003e\n\u003cli\u003eAppreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators\u003c\/li\u003e\n\u003cli\u003eUnderstand how to obtain, check, manage and harmonise IPD from multiple studies\u003c\/li\u003e\n\u003cli\u003eExamine risk of bias (quality) of IPD and minimise potential biases throughout the project\u003c\/li\u003e\n\u003cli\u003eUnderstand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them\u003c\/li\u003e\n\u003cli\u003eClearly report and disseminate IPD meta-analyses to inform policy, practice and future research\u003c\/li\u003e\n\u003cli\u003eCritically appraise existing IPD meta-analysis projects\u003c\/li\u003e\n\u003cli\u003eAddress 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\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eDetailed examples and case studies are provided throughout.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRichard D. Riley\u003c\/b\u003e is Professor of Biostatistics in the School of Medicine, Keele University, UK.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJayne F. Tierney\u003c\/b\u003e is Professor of Evidence Synthesis at the MRC Clinical Trials Unit, University College London, UK.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLesley A. Stewart\u003c\/b\u003e is Professor of Evidence Synthesis and Director of the Centre for Reviews and Dissemination, University of York, UK.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 560\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 10.1 x 7.2 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 17, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51748431462688,"sku":"9781119333722","price":139.61,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/d4abe3dde6b977aeb3f9092a44ef8c63.webp?v=1779909805","url":"https:\/\/ebocreations.com\/products\/individual-participant-data-meta-analysis-hardcover","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}