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

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

Author Info

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

Additional information is available for the following registered author(s):

Ben Adarkwa Dwamena

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

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

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This page was last updated on 2009-11-10.

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