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Bayesian meta-analysis of genetic association studies using Stata

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If you have a question about this talk, please contact Nikolaos Demiris.

We have developed a number of programs for controlling WinBUGS from within Stata and for processing the output from an MCMC analysis. These programs will be demonstrated and applied to the meta-analysis of genetic association studies. We have advocated an approach that parameterizes such a meta-analysis in terms of allele frequency, departure from Hardy-Weinberg equilibrium, genetic effect size and genetic model and which allows 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 meta-analyses using our Stata programs. The talk will finish will a few remarks on the advantages of a model-based approach to meta-analysis.

This talk is part of the MRC Biostatistics Unit Seminars series.

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