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metandi: Meta-analysis of diagnostic accuracy using hierarchical logistic regression

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Author Info

  • Roger M. Harbord

    () (University of Bristol)

  • Penny Whiting

    (University of Bristol)

Abstract

Meta-analysis of diagnostic test accuracy presents many challenges. Even in the simplest case, when the data are summarized by a 2 × 2 table from each study, a statistically rigorous analysis requires hierarchical (multilevel) models that respect the binomial data structure, such as hierarchical logistic regression. We present a Stata package, metandi, to facilitate the fitting of such models in Stata. The commands display the results in two alternative parameterizations and produce a customizable plot. metandi requires either Stata 10 or above (which has the new command xtmelogit), or Stata 8.2 or above with gllamm installed. Copyright 2009 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 9 (2009)
Issue (Month): 2 (June)
Pages: 211-229

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Handle: RePEc:tsj:stataj:v:9:y:2009:i:2:p:211-229

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Related research

Keywords: metandi; metandiplot; diagnosis; meta-analysis; sensitivity and specificity; hierarchical models; generalized mixed models; gllamm; xtmelogit; re- ceiver operating characteristic (ROC); summary ROC; hierarchical summary ROC;

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