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SUMMARY:"Understanding the role of secondary outcomes in multivariate meta
 -analysis" - Professor John Copas\, University of Warwick
DTSTART:20160209T143000Z
DTEND:20160209T153000Z
UID:TALK63427@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Abstract: Meta-analysis is usually univariate\, estimating the
  mean treatment effect for the outcome of primary interest.   However\, ma
 ny clinical studies will also measure secondary outcomes.   Multivariate m
 eta-analysis allows us to take these secondary outcomes into account\, and
  also allows us to include studies where the primary outcome is missing. H
 ow much is gained by taking these secondary outcomes into account? In most
  statistical problems we get more accurate estimates if we include other d
 ata which are correlated with the main object of interest. But in meta-ana
 lysis\, the contribution of any particular study's secondary outcomes depe
 nds not only on the between-outcome correlations but\, crucially\, on how 
 typical the study's research design is of the meta-analysis as a whole. A 
 graphical interpretation will be suggested\, and illustrated using a recen
 t meta-analysis of ten anti-hypertension clinical trials.
LOCATION:Large  Seminar Room\, 1st Floor\, Institute of Public Health\, Un
 iversity Forvie Site\, Robinson Way\, Cambridge
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