An Introduction to Multivariate Meta-analysis
Date:
07/09/2015
Organised by:
Royal Statistical Society
Presenter:
Malcolm Price, Richard Riley, Ian White, Dan Jackson and Jamie Kirkham
Level:
Intermediate (some prior knowledge)
Contact:
Sarah Barker
Description:
The use of meta-analysis to synthesise effect estimates from multiple studies is now well established in evidence based medicine. Many studies have more than outcome of interest, such as disease-free survival and overall survival, and researchers currently meta-analyse each outcome separately. However, such multiple outcomes are often related to each other, i.e. they are correlated. For example, a patient’s time to recurrence of disease is generally associated with their time of death. By meta-analysing each outcome independently, researchers ignore this correlation and thus lose potentially valuable information.
However, a multivariate meta-analysis can analyse correlated outcomes together and utilise their correlated information to get the most out of the available data. The course provides a firm introduction to multivariate meta-analysis methods and gives a full demonstration of its implementation in STATA.
A reasonable grounding in statistics will be assumed. Some knowledge of meta-analysis and randomised controlled trials would be of help, but is not essential.
Cost:
480
Website and registration:
Region:
South West
Keywords:
Quantitative Data Handling and Data Analysis, multivariate , meta-analysis
Related publications and presentations:
Quantitative Data Handling and Data Analysis