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Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research (Statistics in Practice) (EPUB)

Individual Participant Data Meta-Analysis: A Comprehensive Handbook for Healthcare Researchers

Authored by renowned experts Richard D. Riley, Jayne F. Tierney, and Lesley A. Stewart, this handbook provides a thorough introduction to individual participant data (IPD) meta-analysis, a powerful tool for healthcare researchers. With their wealth of experience in the field, the authors guide readers through the entire process of conducting and utilizing IPD meta-analysis projects.

What You’ll Learn

  • Understand the advantages of the IPD approach and when to use it over conventional systematic reviews
  • Recognize the scope, resources, and challenges of IPD meta-analysis projects
  • Appreciate the importance of a multi-disciplinary project team and close collaboration with original study investigators
  • Learn how to obtain, check, manage, and harmonize IPD from multiple studies
  • Examine risk of bias (quality) of IPD and minimize potential biases throughout the project
  • Master fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches
  • Clearly report and disseminate IPD meta-analyses to inform policy, practice, and future research
  • Critically appraise existing IPD meta-analysis projects
  • Explore specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, and test accuracy at multiple thresholds

A Comprehensive Resource for Healthcare Researchers

This handbook is divided into five parts, taking readers on a journey from initiating and planning IPD projects to obtaining, checking, and meta-analyzing IPD, and appraising and reporting findings. The book provides detailed guidance on:

  • Synthesis of IPD from randomized trials to evaluate treatment effects
  • Evaluation of participant-level effect modifiers (treatment-covariate interactions)
  • Diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics
  • Multivariate and network meta-analysis, power calculations, and missing data

With detailed examples and case studies throughout, this handbook is an indispensable resource for healthcare researchers, providing a thorough understanding of IPD meta-analysis and its applications in healthcare research.

Publication Details:

  • Publisher: Wiley
  • Publication Date: May 24, 2021
  • Language: English

Advance your knowledge of individual participant data meta-analysis and elevate your research with this comprehensive handbook.

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