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

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.


Issue Date:
2009
Publication Type:
Journal Article
DOI and Other Identifiers:
st0163 (Other)
PURL Identifier:
http://purl.umn.edu/127333
Published in:
Stata Journal, Volume 09, Number 2
Page range:
211-229
Total Pages:
19

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 Record created 2017-04-01, last modified 2017-08-26

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