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
Abstract Background Recommended statistical methods for meta-analysis of diagnostic test accuracy st...
Although measures such as sensitivity and specificity are used in the study of diagnostic test accur...
Multilevel logit regression results for predictors of bin membership (complete metaBUS dataset).</p
Meta-analysis of diagnostic test accuracy presents many challenges. Even in the simplest case, when ...
The R-package mada is a tool for the meta-analysis of diagnostic accuracy. In con-trast to univariat...
We present a revised version of the metareg command, which performs meta-analysis regression (meta-r...
Abstract. We present a revised version of the metareg command, which performs meta-analysis regressi...
Remarks and examples stata.com Stata does not have a meta-analysis command. Stata users, however, ha...
BackgroundThe statistical models developed for meta-analysis of diagnostic test accuracy studies req...
OBJECTIVE: Meta-analysis of studies of the accuracy of diagnostic tests currently uses a variety of ...
Hierarchical models such as the bivariate and hierarchical summary receiver operating characteristic...
With the growing number of studies looking at the performance of diagnostic tests, combining the st...
OBJECTIVE To a) identify methodological and application papers reporting a model developed specif...
MetaBayesDTA is an extended, Bayesian version of MetaDTA, which allows users to conduct meta-analysi...
<p>In studies evaluating the accuracy of diagnostic tests, three designs are commonly used, crossove...
Abstract Background Recommended statistical methods for meta-analysis of diagnostic test accuracy st...
Although measures such as sensitivity and specificity are used in the study of diagnostic test accur...
Multilevel logit regression results for predictors of bin membership (complete metaBUS dataset).</p
Meta-analysis of diagnostic test accuracy presents many challenges. Even in the simplest case, when ...
The R-package mada is a tool for the meta-analysis of diagnostic accuracy. In con-trast to univariat...
We present a revised version of the metareg command, which performs meta-analysis regression (meta-r...
Abstract. We present a revised version of the metareg command, which performs meta-analysis regressi...
Remarks and examples stata.com Stata does not have a meta-analysis command. Stata users, however, ha...
BackgroundThe statistical models developed for meta-analysis of diagnostic test accuracy studies req...
OBJECTIVE: Meta-analysis of studies of the accuracy of diagnostic tests currently uses a variety of ...
Hierarchical models such as the bivariate and hierarchical summary receiver operating characteristic...
With the growing number of studies looking at the performance of diagnostic tests, combining the st...
OBJECTIVE To a) identify methodological and application papers reporting a model developed specif...
MetaBayesDTA is an extended, Bayesian version of MetaDTA, which allows users to conduct meta-analysi...
<p>In studies evaluating the accuracy of diagnostic tests, three designs are commonly used, crossove...
Abstract Background Recommended statistical methods for meta-analysis of diagnostic test accuracy st...
Although measures such as sensitivity and specificity are used in the study of diagnostic test accur...
Multilevel logit regression results for predictors of bin membership (complete metaBUS dataset).</p