Search results: Sage Journals

Restricted accessResearch articleFirst published October, 2017

A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published November, 2019

A D-vine copula mixed model for joint meta-analysis and comparison of diagnostic tests

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Open accessResearch articleFirst published October, 2020

A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Open accessResearch articleFirst published September, 2024

A dependent circular-linear model for multivariate biomechanical data: Ilizarov ring fixator study

Priyanka Nagar, Andriette Bekker, Mohammad Arashi [...]

Statistical Methods in Medical Research

Open accessResearch articleFirst published October, 2024

Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published April, 2016

Comment on ‘A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence’

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published June, 2012

Maximum likelihood estimation of mixed C-vines with application to exchange rates

Claudia Czado, Ulf Schepsmeier, Aleksey Min

Statistical Modelling

Restricted accessResearch articleFirst published March, 2023

Downside Risk and Portfolio Optimization of Energy Stocks: A Study on the Extreme Value Theory and the Vine Copula Approach

Madhusudan Karmakar, Samit Paul

The Energy Journal

Restricted accessEditorialFirst published April, 2016

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

Annika Hoyer, Oliver Kuss

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published August, 2016

Review of dependence modeling in hydrology and water resources

Zengchao Hao, Vijay P. Singh

Progress in Physical Geography: Earth and Environment

Restricted accessResearch articleFirst published October, 2017

A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published November, 2019

A D-vine copula mixed model for joint meta-analysis and comparison of diagnostic tests

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Open accessResearch articleFirst published October, 2020

A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Open accessResearch articleFirst published September, 2024

A dependent circular-linear model for multivariate biomechanical data: Ilizarov ring fixator study

Priyanka Nagar, Andriette Bekker, Mohammad Arashi [...]

Statistical Methods in Medical Research

Open accessResearch articleFirst published October, 2024

Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published April, 2016

Comment on ‘A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence’

Aristidis K Nikoloulopoulos

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published June, 2012

Maximum likelihood estimation of mixed C-vines with application to exchange rates

Claudia Czado, Ulf Schepsmeier, Aleksey Min

Statistical Modelling

Restricted accessResearch articleFirst published March, 2023

Downside Risk and Portfolio Optimization of Energy Stocks: A Study on the Extreme Value Theory and the Vine Copula Approach

Madhusudan Karmakar, Samit Paul

The Energy Journal

Restricted accessEditorialFirst published April, 2016

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

Annika Hoyer, Oliver Kuss

Statistical Methods in Medical Research

Restricted accessResearch articleFirst published August, 2016

Review of dependence modeling in hydrology and water resources

Zengchao Hao, Vijay P. Singh

Progress in Physical Geography: Earth and Environment