8 papers
1-truncated C-vine copula mixed models for network meta-analysis of multiple diagnostic tests
Aristidis K. Nikoloulopoulos
As meta-analysis of multiple diagnostic tests impacts clinical decision making and patient health, there is growing interest in statistical models that synthesize evidence from stu…
Efficient and feasible inference for high-dimensional normal copula regression models
Aristidis K. Nikoloulopoulos
The composite likelihood (CL) is amongst the computational methods used for the estimation of high-dimensional multivariate normal (MVN) copula models with discrete responses. Its…
Bi-factor and second-order copula models for item response data
Sayed H. Kadhem, Aristidis K. Nikoloulopoulos
Bi-factor and second-order models based on copulas are proposed for item response data, where the items can be split into non-overlapping groups such that there is a homogeneous de…
A multinomial truncated D-vine copula mixed model for the joint meta-analysis of multiple diagnostic tests
Aristidis K. Nikoloulopoulos
There is an extensive literature on methods for meta-analysis of diagnostic studies, but it mainly focuses on a single test. However, the better understanding of a particular disea…
Factor copula models for mixed data
Sayed H. Kadhem, Aristidis K. Nikoloulopoulos
We develop factor copula models for analysing the dependence among mixed continuous and discrete responses. Factor copula models are canonical vine copulas that involve both observ…
A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects
Aristidis K. Nikoloulopoulos
Diagnostic test accuracy studies observe the result of a gold standard procedure that defines the presence or absence of a disease and the result of a diagnostic test. They typical…