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SUMMARY:Bayesian meta-analysis of genetic association studies using Stata 
 - John Thompson\, Department of Health Sciences\, University of Leicester
DTSTART:20081202T143000Z
DTEND:20081202T153000Z
UID:TALK13191@talks.cam.ac.uk
CONTACT:Nikolaos Demiris
DESCRIPTION:We have developed a number of programs for controlling WinBUGS
  from within Stata and for processing the output from an MCMC analysis. Th
 ese programs will be demonstrated and applied to the meta-analysis of gene
 tic association studies. We have advocated an approach that parameterizes 
 such a meta-analysis in terms of allele frequency\, departure from Hardy-W
 einberg equilibrium\, genetic effect size and genetic model and which allo
 ws fixed or random effects on all parameters and adjustment for covariates
  (JRSS C 2008\;57:103-116). These models will be fitted to some typical me
 ta-analyses using our Stata programs. The talk will finish will a few rema
 rks on the advantages of a model-based approach to meta-analysis.
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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