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MIDAS: Stata module for meta-analytical integration of diagnostic test accuracy studies

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Author Info

  • Ben Dwamena

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

Abstract

midas is a user-written command for idiot-proof implementation of some of the contemporary statistical methods for meta-analysis of binary diagnostic test accuracy. Primary data synthesis is performed within the bivariate mixed-effects logistic regression modeling framework. Likelihood-based estimation is by adaptive gaussian quadrature using xtmelogit (Stata release 10) with post-estimation procedures for model diagnostics and empirical Bayes predictions. Average sensitivity and specificity (optionally depicted in SROC space with or without confidence and prediction regions), and their derivative likelihood and odds ratios are calculated from the maximum likelihood estimates. midas facilitates exploratory analysis of heterogeneity, threshold-related variability, methodological quality bias, publication and other precision-related biases. Bayes' nomograms, likelihood-ratio matrices, and probability modifying plots may be derived and used to guide patient-based diagnostic decision making. A dataset of studies evaluating axillary staging performance of positron emission tomography in breast cancer patients is provided for illustration of the omnibus capabilities of midas.

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File URL: http://fmwww.bc.edu/repec/bocode/m/midas.ado
File Function: program code
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File URL: http://fmwww.bc.edu/repec/bocode/f/fagani.ado
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File URL: http://fmwww.bc.edu/repec/bocode/h/homogeni.ado
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File URL: http://fmwww.bc.edu/repec/bocode/l/lrmat.ado
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File URL: http://fmwww.bc.edu/repec/bocode/p/pddami.ado
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File URL: http://fmwww.bc.edu/repec/bocode/m/midas.sthlp
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File URL: http://fmwww.bc.edu/repec/bocode/m/midas.pdf
File Function: documentation
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File URL: http://fmwww.bc.edu/repec/bocode/m/midas_example.dta
File Function: sample data file
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Bibliographic Info

Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456880.

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Programming language:
Requires: Stata version 10
Date of creation: 14 Oct 2007
Date of revision: 05 Feb 2009
Handle: RePEc:boc:bocode:s456880

Note: This module should be installed from within Stata by typing "ssc install midas". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

Related research

Keywords: meta-analysis; meta-regression; roc curve; mixed models; diagnosis; sensitivity and specificity; Bayes' nomogram; bivariate analysis; publication bias; predictive values; likelihood ratios; heterogeneity; forest plot;

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