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METANDI: Stata module to perform meta-analysis of diagnostic accuracy

Roger Harbord

Statistical Software Components from Boston College Department of Economics

Abstract: metandi performs meta-analysis of diagnostic test accuracy studies in which both the index test under study and the reference test (gold standard) are dichotomous. It fits a two-level mixed logistic regression model, with independent binomial distributions for the true positives and true negatives within each study, and a bivariate normal model for the logit transforms of sensitivity and specificity between studies. Estimates are displayed for the parameters of both the bivariate model (Reitsma et al. 2005) and the Hierarchical Summary Receiver Operating Characteristic (HSROC) model (Rutter & Gatsonis 2001). In the models without covariates fitted by metandi these are different parameterisations of the same model (Harbord et al. 2007, Arends 2006). In Stata 8 or 9 metandi makes use of the user-written command gllamm, which must also be installed. In Stata 10 metandi fits the model using the built-in command xtmelogit by default, so gllamm is not required.

Language: Stata
Requires: Stata version 8.2
Keywords: diagnostic accuracy; meta-analysis; sensitivity and specificity; hierarchical models; HSROC; bivariate; gllamm; xtmelogit (search for similar items in EconPapers)
Date: 2008-04-16
Note: This module should be installed from within Stata by typing "ssc install metandi". The module is made available under terms of the GPL v3 ( Windows users should not attempt to download these files with a web browser.
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Citations: View citations in EconPapers (1)

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