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

Author

Listed:
  • Roger Harbord

    (Department of Social Medicine, University of Bristol)

Programming Language

Stata

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.

Suggested Citation

  • Roger Harbord, 2008. "METANDI: Stata module to perform meta-analysis of diagnostic accuracy," Statistical Software Components S456932, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s456932
    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 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/m/metandi.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/metandi.hlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/metandi_p.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/metandi_postestimation.hlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/metandiplot.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/metandiplot.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/scheidler_LAG.dta
    File Function: sample data file
    Download Restriction: no
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    Cited by:

    1. Robert S Phillips & Thomas Lehrnbecher & Sarah Alexander & Lillian Sung, 2012. "Updated Systematic Review and Meta-Analysis of the Performance of Risk Prediction Rules in Children and Young People with Febrile Neutropenia," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.

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