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Meta-analytical Integration of Diagnostic Accuracy Studies in Stata

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  • Ben Dwamena

    ()
    (Division of Nuclear Medicine, Department of Radiology, University of Michigan Health System, Ann Arbor)

Abstract

This presentation will demonstrate how to perform diagnostic meta-analysis using midas , a user-written macro. midas is is comprehensive program of statistical and graphical routines for undertaking meta-analysis of diagnostic test performance in Stata. Primary data synthesis is performed within the bivariate generalized linear mixed modeling framework. Model specification, estimation and prediction are carried out with gllamm (Rabe-Hesketh et.al, spherical adaptive quadrature). Using the estimated coefficients and variance-covariance matrices, midas calculates the summary operating sensitivity and specificity (with confidence and prediction ellipses) in SROC space. Summary likelihood and odds ratios with relevant heterogeneity statistics are provided. midas facilitates extensive statistical and graphical data synthesis and exploratory analyses of unobserved heterogeneity, covariate effects, publication bias and subgroup analyses. Bayes' nomograms, likelihood ratio matrices and conditional probability plots may be obtained and used to guide clinical decision-making.

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Bibliographic Info

Paper provided by Stata Users Group in its series North American Stata Users' Group Meetings 2007 with number 4.

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Date of creation: 30 Aug 2007
Date of revision: 05 Sep 2007
Handle: RePEc:boc:asug07:4

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Web page: http://www.stata.com/meeting/6nasug
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