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CATEGORIES:MRC Biostatistics Unit Seminars
SUMMARY:"\;Understanding the role of secondary outcome
s in multivariate meta-analysis"\; - Professor
John Copas\, University of Warwick
DTSTART;TZID=Europe/London:20160209T143000
DTEND;TZID=Europe/London:20160209T153000
UID:TALK63427AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/63427
DESCRIPTION:Abstract: Meta-analysis is usually univariate\, es
timating the mean treatment effect for the outcome
of primary interest. However\, many clinical st
udies will also measure secondary outcomes. Mult
ivariate meta-analysis allows us to take these sec
ondary outcomes into account\, and also allows us
to include studies where the primary outcome is mi
ssing. How much is gained by taking these secondar
y outcomes into account? In most statistical probl
ems we get more accurate estimates if we include o
ther data which are correlated with the main objec
t of interest. But in meta-analysis\, the contribu
tion of any particular study's secondary outcomes
depends not only on the between-outcome correlatio
ns but\, crucially\, on how typical the study's re
search design is of the meta-analysis as a whole.
A graphical interpretation will be suggested\, and
illustrated using a recent meta-analysis of ten a
nti-hypertension clinical trials.
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Pub
lic Health\, University Forvie Site\, Robinson Way
\, Cambridge
CONTACT:Alison Quenault
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