MetaBayesDTA is an extended, Bayesian version of MetaDTA, which allows users to conduct meta-analysis of test accuracy, with or without assuming a gold standard.If you use this app, please cite it as: Cerullo, E., Sutton, A.J., Jones, H.E. et al. MetaBayesDTA: codeless Bayesian meta-analysis of test accuracy, with or without a gold standard. BMC Med Res Methodol 23, 127 (2023)
Abstract Background Several reviews have noted shortc...
Meta-analysis involves combining summary information from related but independent studies. The objec...
Meta-analysis is the quantitative synthesis of information from several studies. It is applicable to...
BackgroundThe statistical models developed for meta-analysis of diagnostic test accuracy studies req...
Meta-analysis refers to the collection and subsequent statistical analysis of results from numerous ...
BACKGROUND:Recommended statistical methods for meta-analysis of diagnostic test accuracy studies req...
With the growing number of studies looking at the performance of diagnostic tests, combining the st...
Whilst meta-analysis is becoming a more commonplace statistical technique, Bayesian inference in met...
Summary: MetaABC is a metagenomic platform that integrates several binning tools coupled with method...
Remarks and examples stata.com Stata does not have a meta-analysis command. Stata users, however, ha...
In Part One, the foundations of Bayesian inference are reviewed, and the technicalities of the Bayes...
This paper introduces the R package meta4diag for implementing Bayesian bivariate meta-analyses of d...
This paper introduces the R package meta4diag for implementing Bayesian bivariate meta-analyses of d...
In evaluating the accuracy of diagnosis tests, it is common to apply two imperfect tests jointly or ...
<p><b>BACKGROUND: </b>Meta-analyses have become an essential tool in synthesizing ...
Abstract Background Several reviews have noted shortc...
Meta-analysis involves combining summary information from related but independent studies. The objec...
Meta-analysis is the quantitative synthesis of information from several studies. It is applicable to...
BackgroundThe statistical models developed for meta-analysis of diagnostic test accuracy studies req...
Meta-analysis refers to the collection and subsequent statistical analysis of results from numerous ...
BACKGROUND:Recommended statistical methods for meta-analysis of diagnostic test accuracy studies req...
With the growing number of studies looking at the performance of diagnostic tests, combining the st...
Whilst meta-analysis is becoming a more commonplace statistical technique, Bayesian inference in met...
Summary: MetaABC is a metagenomic platform that integrates several binning tools coupled with method...
Remarks and examples stata.com Stata does not have a meta-analysis command. Stata users, however, ha...
In Part One, the foundations of Bayesian inference are reviewed, and the technicalities of the Bayes...
This paper introduces the R package meta4diag for implementing Bayesian bivariate meta-analyses of d...
This paper introduces the R package meta4diag for implementing Bayesian bivariate meta-analyses of d...
In evaluating the accuracy of diagnosis tests, it is common to apply two imperfect tests jointly or ...
<p><b>BACKGROUND: </b>Meta-analyses have become an essential tool in synthesizing ...
Abstract Background Several reviews have noted shortc...
Meta-analysis involves combining summary information from related but independent studies. The objec...
Meta-analysis is the quantitative synthesis of information from several studies. It is applicable to...