TY - JOUR
ID - st0163
A1 - Harbord, R. M.
A1 - Whiting, P.
TI - metandi: Meta-analysis of diagnostic accuracy using hierarchical logistic regression
JF - Stata Journal
PB - Stata Press
CY - College Station, TX
Y1 - 2009
VL - 9
IS - 2
SP - 211
EP - 229
KW - metandi
KW - metandiplot
KW - diagnosis
KW - meta-analysis
KW - sensitivity and specificity
KW - hierarchical models
KW - generalized mixed models
KW - gllamm
KW - xtmelogit
KW - receiver operating characteristic (ROC)
KW - summary ROC
KW - hierarchical summary ROC
UR - http://www.stata-journal.com/article.html?article=st0163
L1 - http://www.stata-journal.com/sjpdf.html?article=st0163
AB - 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.
ER -