Abstract
Meta-analysis of diagnostic test accuracy presents many challenges. Even in the simplest case, when the data are summarized by a 2 x 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. © 2009 StataCorp LP.
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Harbord, R. M., & Whiting, P. (2009). Metandi: Meta-analysis of diagnostic accuracy using hierarchical logistic regression. Stata Journal, 9(2), 211–229. https://doi.org/10.1177/1536867x0900900203
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