Individual Participant Data Meta-Analysis for Healthcare Research

Richard D. Riley, Lesley A. Stewart, Jayne F. Tierney

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter presents the differences between individual participant data (IPD) and aggregate data, and outline why IPD meta-analysis projects are increasingly needed. An IPD meta-analysis project, therefore, involves the collection, checking, harmonisation and synthesis of IPD from multiple studies to answer particular research questions. A conventional meta-analysis uses aggregate data, rather than IPD. The growth of IPD meta-analysis projects reflects their potential to revolutionise healthcare research, especially as they align with three major contemporary initiatives: reducing research waste, data sharing, and personalised healthcare. Leading medical journals require data-sharing statements, with some even enforcing the sharing of IPD on request. This has led to dedicated data sharing platforms and repositories being established to house IPD from existing studies. IPD meta-analysis projects are central to modern evidence synthesis in healthcare. The chapter also presents an overview of the key concepts discussed in this book.

Original languageEnglish
Title of host publicationIndividual Participant Data Meta-Analysis
Subtitle of host publicationa Handbook for Healthcare Research
PublisherWiley-Blackwell Publishing Ltd
Number of pages6
ISBN (Electronic)9781119333784
ISBN (Print)9781119333722
Publication statusPublished - 22 Apr 2021

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