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

RM Harbord, P Whiting

Research output: Contribution to journalArticle (Academic Journal)peer-review

223 Citations (Scopus)

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.
Translated title of the contributionmetandi: Meta–analysis of diagnostic accuracy using hierarchical logistic regression
Original languageEnglish
Pages (from-to)211 - 229
Number of pages19
JournalStata Journal
Volume9 (2)
Publication statusPublished - 2009

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