Journal
STATA JOURNAL
Volume 9, Issue 2, Pages 211-229Publisher
STATA PRESS
DOI: 10.1177/1536867X0900900203
Keywords
st0163; metandi; metandiplot; diagnosis; meta-analysis; sensitivity and specificity; hierarchical models; generalized mixed models; gllamm; xtmelogit; receiver operating characteristic (ROC); summary ROC; hierarchical summary ROC
Funding
- Medical Research Council [G0801405] Funding Source: researchfish
- MRC [G0801405] Funding Source: UKRI
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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.
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