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 contribution | metandi: Meta–analysis of diagnostic accuracy using hierarchical logistic regression |
---|---|
Original language | English |
Pages (from-to) | 211 - 229 |
Number of pages | 19 |
Journal | Stata Journal |
Volume | 9 (2) |
Publication status | Published - 2009 |