Hoyer A and Kuss O. Comment on ‘A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence’ by Aristidis K Nikoloulopoulos. Stat Methods Med Res (in press).
2.
Nikoloulopoulos AK. A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution. Stat Med 2015; 34: 3842–3865.
3.
Nikoloulopoulos AK. A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence. Stat Methods Med Res. (in press). DOI: 10.1177/0962280215596769.
4.
KussOHoyerASolmsA. Meta-analysis for diagnostic accuracy studies: a new statistical model using beta-binomial distributions and bivariate copulas. Stat Med2014; 33: 17–30.
5.
HoyerAKussO. Meta-analysis of diagnostic tests accounting for disease prevalence: a new model using trivariate copulas. Stat Med2015; 34: 1912–1924.
6.
Nikoloulopoulos AK. CopulaREMADA: copula mixed effect models for bivariate and trivariate meta-analysis of diagnostic test accuracy studies, 2015, http://CRAN.R-project.org/package=CopulaREMADA.
7.
KarageorgopoulosDEVouloumanouEKNtzioraF. β-D-Glucan assay for the diagnosis of invasive fungal infections: a meta-analysis. Clin Infect Dis2011; 52: 750–770.
8.
DiazM. Performance measures of the bivariate random effects model for meta-analyses of diagnostic accuracy. Comput Stat Data Anal2015; 83: 82–90.
