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Performing Bayesian analysis in Stata using WinBUGS Tom Palmer, John Thompson & Santiago Moreno Department of Health Sciences, University of Leicester, UK 13 th UK Stata Users Group Meeting, 10 September 2007 Tom Palmer (Leicester) Running


  1. Performing Bayesian analysis in Stata using WinBUGS Tom Palmer, John Thompson & Santiago Moreno Department of Health Sciences, University of Leicester, UK 13 th UK Stata Users Group Meeting, 10 September 2007 Tom Palmer (Leicester) Running WinBUGS from Stata 1 / 24

  2. Outline The Bayesian approach & WinBUGS 1 The winbugsfromstata package 2 How to run an analysis 3 Summary & developments 4 Tom Palmer (Leicester) Running WinBUGS from Stata 2 / 24

  3. The Bayesian approach Bayes Theorem Posterior ∝ Likelihood × prior Tom Palmer (Leicester) Running WinBUGS from Stata 3 / 24

  4. The Bayesian approach Bayes Theorem Posterior ∝ Likelihood × prior Direct probability statements - not frequentist - subjective Tom Palmer (Leicester) Running WinBUGS from Stata 3 / 24

  5. The Bayesian approach Bayes Theorem Posterior ∝ Likelihood × prior Direct probability statements - not frequentist - subjective Complex posterior marginal distributions - estimation via simulation Tom Palmer (Leicester) Running WinBUGS from Stata 3 / 24

  6. The Bayesian approach Bayes Theorem Posterior ∝ Likelihood × prior Direct probability statements - not frequentist - subjective Complex posterior marginal distributions - estimation via simulation Markov chain Monte Carlo (MCMC) methods Tom Palmer (Leicester) Running WinBUGS from Stata 3 / 24

  7. WinBUGS Bayesian statistics using Gibbs sampling Tom Palmer (Leicester) Running WinBUGS from Stata 4 / 24

  8. WinBUGS Bayesian statistics using Gibbs sampling MRC Biostatistics unit http://www.mrc-bsu.cam.ac.uk/bugs Tom Palmer (Leicester) Running WinBUGS from Stata 4 / 24

  9. WinBUGS Bayesian statistics using Gibbs sampling MRC Biostatistics unit http://www.mrc-bsu.cam.ac.uk/bugs Health Economics, Medical Statistics Tom Palmer (Leicester) Running WinBUGS from Stata 4 / 24

  10. WinBUGS Bayesian statistics using Gibbs sampling MRC Biostatistics unit http://www.mrc-bsu.cam.ac.uk/bugs Health Economics, Medical Statistics Disadvantages: data management, post-processing of results, graphics Tom Palmer (Leicester) Running WinBUGS from Stata 4 / 24

  11. The winbugsfromstata package Stata interface to WinBUGS [Thompson et al., 2006] http://www2.le.ac.uk/departments/health-sciences/extranet/ BGE/genetic-epidemiology/gedownload/information Tom Palmer (Leicester) Running WinBUGS from Stata 5 / 24

  12. The winbugsfromstata package Tom Palmer (Leicester) Running WinBUGS from Stata 6 / 24

  13. How to run an analysis Tom Palmer (Leicester) Running WinBUGS from Stata 7 / 24

  14. help winbugs Tom Palmer (Leicester) Running WinBUGS from Stata 8 / 24

  15. Example analysis: Schools Schools example [Goldstein et al., 1993],[Spiegelhalter et al., 2004] Tom Palmer (Leicester) Running WinBUGS from Stata 9 / 24

  16. Example analysis: Schools Schools example [Goldstein et al., 1993],[Spiegelhalter et al., 2004] Between-school variation in exam results from inner London schools Tom Palmer (Leicester) Running WinBUGS from Stata 9 / 24

  17. Example analysis: Schools Schools example [Goldstein et al., 1993],[Spiegelhalter et al., 2004] Between-school variation in exam results from inner London schools Standardized mean scores ( Y ) 1,978 pupils, 38 schools Tom Palmer (Leicester) Running WinBUGS from Stata 9 / 24

  18. Example analysis: Schools Schools example [Goldstein et al., 1993],[Spiegelhalter et al., 2004] Between-school variation in exam results from inner London schools Standardized mean scores ( Y ) 1,978 pupils, 38 schools LRT: London Reading Test, VR: verbal reasoning, Gender intake of school, denomination of school Tom Palmer (Leicester) Running WinBUGS from Stata 9 / 24

  19. Data for the Schools example Tom Palmer (Leicester) Running WinBUGS from Stata 10 / 24

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