• English
  • Español

Statistical methods for individual participant data meta-analysis

Topic category Statistical methods and meta-analysis
Date and Location
Date: 
Friday 21 October 2011 - 16:00 - 17:30
Location: 
Methods Group
Methods Group: 
Individual Patient Data Meta-analysis Methods Group
Contact person
Contact person: 
Catrin Tudur Smith (Contact this person)
Facilitators
First nameLast nameAffiliation and Country
First name: 
Catrin
Last name: 
Tudur Smith
Affiliation and Country: 
University of Liverpool, UK
First name: 
Richard
Last name: 
Riley
Affiliation and Country: 
Brimingham University, UK
Other contributors
First nameLast nameAffiliation and Country
First name: 
Paula
Last name: 
Williamson
Affiliation and Country: 
University of Liverpool, UK
Target audience
Target audience: 
review authors undertaking IPD meta-analysis
Is your workshop restricted to a specific audience or open to all Colloquium participants?: 
Open
Level of knowledge required: 
Intermediate
Type of workshop
Type of workshop: 
Training
Abstract text
Abstract: 
Objectives:
To summarise and illustrate statistical approaches for meta-analysis of individual participant data (IPD).

Description:
Meta-analysis with IPD has been described as the gold standard approach for meta-analysis. The availability of IPD provides a number of advantages for meta-analysis but the methodology can be complex and raises issues which have received less attention in the literature compared to standard methods using aggregate data. This workshop will discuss the statistical methods available for undertaking meta-analysis using IPD, covering the principles for all outcomes with specific focus on time-to-event outcomes.

The workshop is aimed at reviewers who plan to undertake a meta-analysis with IPD and topics covered will include:
(i) what is IPD, the benefits and when it should be collected
(ii) which statistical methods are available for meta-analysis of IPD
(iii) how to undertake an IPD meta-analysis of time-to-event data (fixed and random
effects) and which software can be used
(iv) how to combine studies that provide IPD with studies that provide AD
(v) how to investigate potential causes of heterogeneity
Participants will be encouraged to discuss their personal experiences of meta-analysis with IPD.