{"product_id":"evidence-synthesis-using-individual-participant-data-9781119333722","title":"Evidence Synthesis Using Individual Participant Data","description":"\u003cp\u003e • Author(s): Richard Riley\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • BISAC: Evidence-Based Medicine\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  *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.","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":45202365120663,"sku":"9781119333722","price":7469.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781119333722.webp?v=1767916270","url":"https:\/\/atlanticbooks.com\/products\/evidence-synthesis-using-individual-participant-data-9781119333722","provider":"Atlantic Books","version":"1.0","type":"link"}