METANDI: Stata module to perform meta-analysis of diagnostic accuracy
Statistical Software Components from Boston College Department of Economics
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.
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)
Note: This module should be installed from within Stata by typing "ssc install metandi". Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/metandi.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/metandi.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/metandi_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/metandi_postestimation.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/metandiplot.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/metandiplot.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/scheidler_LAG.dta sample data file (application/x-stata)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:boc:bocode:s456932
Ordering information: This software item can be ordered from
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Series data maintained by Christopher F Baum ().