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

Roger Harbord () and Penny Whiting
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Penny Whiting: University of Bristol

Stata Journal, 2009, vol. 9, issue 2, pages 211-229

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.

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 (search for similar items in EconPapers)
Date: 2009

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Persistent link: http://EconPapers.repec.org/RePEc:tsj:stataj:v:9:y:2009:i:2:p:211-229

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