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METAANALYTIC INTEGRATION OF DIAGNOSTIC ACCURACY STUDIES IN STATA

Ben A. Dwamena, MD Department of Radiology (Nuclear Medicine). METAANALYTIC INTEGRATION OF DIAGNOSTIC ACCURACY STUDIES IN STATA. WHY META-ANALYSIS?. WHY META-ANALYSIS?. 2 X 2 TABLE FOR SINGLE STUDY. THESHOLD EFFECT AND ROC. VARIATION IN THRESHOLD VS ACCURACY. TRADITIONAL MODEL.

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METAANALYTIC INTEGRATION OF DIAGNOSTIC ACCURACY STUDIES IN STATA

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  1. Ben A. Dwamena, MD Department of Radiology (Nuclear Medicine) METAANALYTIC INTEGRATION OF DIAGNOSTIC ACCURACY STUDIES IN STATA NASUG 2007

  2. WHY META-ANALYSIS? NASUG 2007

  3. WHY META-ANALYSIS? NASUG 2007

  4. 2 X 2 TABLE FOR SINGLE STUDY NASUG 2007

  5. THESHOLD EFFECT AND ROC NASUG 2007

  6. VARIATION IN THRESHOLD VS ACCURACY NASUG 2007

  7. TRADITIONAL MODEL NASUG 2007

  8. EXAMPLE DATA NASUG 2007

  9. NASUG 2007

  10. NASUG 2007

  11. NASUG 2007

  12. LIMITATIONS OF SROC MODEL NASUG 2007

  13. BIVARIATE MIXED-EFFECTS BINOMIAL REGRESSION MODEL NASUG 2007

  14. BIVARIATE MIXED-EFFECTS BINOMIAL REGRESSION MODEL NASUG 2007

  15. BIVARIATE MIXED-EFFECTS BINOMIAL REGRESSION MODEL NASUG 2007

  16. BIVARIATE MIXED-EFFECTS BINOMIAL REGRESSION MODEL NASUG 2007

  17. BIVARIATE MIXED-EFFECTS BINOMIAL REGRESSION MODEL NASUG 2007

  18. BIVARIATE MIXED-EFFECTS BINOMIAL REGRESSION MODEL NASUG 2007

  19. BINOMIAL REGRESSION MODELXTMELOGIT CODE NASUG 2007

  20. BINOMIAL REGRESSION MODEL GLAMM CODE NASUG 2007

  21. EXAMPLE DATASET:Axillary PET Scan in Primary Breast Cancer NASUG 2007

  22. SYNTAX FOR midas NASUG 2007

  23. QUALITY ASSESSMENTmidas tp fp fn tn prodesign ssize30 fulverif testdescr refdescr subjdescr ///report brdspect blinded, id(author) year(year) qualib NASUG 2007

  24. ROC PLANEmidas tp fp fn tn, id(author) year(year) es(x) rocp NASUG 2007

  25. CHI-PLOTmidas tp fp fn tn, id(author) year(year) ms(0.75) chip NASUG 2007

  26. BIVARIATE BOXPLOTmidas tp fp fn tn, id(author) year(year) ms(0.75) bivbox NASUG 2007

  27. SUMMARY RESULTSmidas tp fp fn tn, id(author) year(year) es(x) ms(0.75)sumstats NASUG 2007

  28. SUMMARY RESULTS:midas tp fp fn tn, id(author) year(year) ms(0.75) es(x) sumstats NASUG 2007

  29. SUMMARY ROCmidas tp fp fn tn, es(x) ms(0.75) plotsroc1 NASUG 2007

  30. SUMMARY ROCmidas tp fp fn tn, es(x) ms(0.75) plot sroc2 NASUG 2007

  31. FOREST PLOTmidas tp fp fn tn, id(author) year(year) es(x) ms(0.75) ford for(dss) NASUG 2007

  32. FOREST PLOTmidas tp fp fn tn, id(author) year(year) es(x) ms(0.45) for(dss) NASUG 2007

  33. FUNNEL PLOTmidas tp fp fn tn, ms(0.75) fun NASUG 2007

  34. FUNNEL PLOTASYMMETRY TESTmidas tp fp fn tn, pubb NASUG 2007

  35. CONDITIONAL PROBABILITY PLOTmidas tp fp fn tn, es(x) pddam(p) NASUG 2007

  36. UNCONDITIONAL PREDICTIVE VALUESmidas tp fp fn tn, ms(0.75) es(x) pddam(r) NASUG 2007

  37. FAGAN’S NOMOGRAM Imidas tp fp fn tn, es(x) fagan NASUG 2007

  38. FAGAN’S NOMOGRAM IImidas tp fp fn tn, es(x) fagan prior(.20) NASUG 2007

  39. LIKELIHOOD RATIO SCATTERGRAMmidas tp fp fn tn, es(x) lrmat NASUG 2007

  40. UNIVARIABLE META-REGRESSIONmidas tp fp fn tnprodesign brdspect blinded, covars NASUG 2007

  41. WORK-IN-PROGRESS Extending bivariate model to assess: • Publication bias using association-marginal modeling • Influencial Studies • Heterogeneity using ICCs • Nonparametric modeling of random effects • etc NASUG 2007

  42. THANK YOU FOR YOUR ATTENTION • QUESTIONS? • SUGGESTIONS • COMMENTS NASUG 2007

  43. ACKNOWLEDGEMENTS NASUG 2007

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