Gaussian copula joint models to analysis mixed correlated longitudinal count and continuous responses
From MaRDI portal
Publication:5079150
DOI10.1080/03610926.2020.1734825OpenAlexW3010612488MaRDI QIDQ5079150
Ehsan Bahrami Samani, Fateme Rezaee, Mojtaba Ganjali
Publication date: 25 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1734825
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Gaussian copula mixed models for clustered mixed outcomes, with application in developmental toxicology
- Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients
- A Gaussian copula approach for the analysis of secondary phenotypes in case-control genetic association studies
- Applications of Correlation Models for Biserial Data
- Copula models of joint last survivor analysis
- General mixed-data model: Extension of general location and grouped continuous models
- Joint modelling of mixed outcome types using latent variables
- Joint Regression Analysis of Correlated Data Using Gaussian Copulas
- Response models for mixed binary and quantitative variables
- Dummy Endogenous Variables in a Simultaneous Equation System
- A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
- Copula Analysis of Correlated Counts
- Gaussian copula distributions for mixed data, with application in discrimination
- Modelling of repeated ordered measurements by isotonic sequential regression
- Multivariate Correlation Models with Mixed Discrete and Continuous Variables
- Correlation Between a Discrete and a Continuous Variable. Point-Biserial Correlation
- THE THEORY OF CORRELATION BETWEEN TWO CONTINUOUS VARIABLES WHEN ONE IS DICHOTOMIZED
This page was built for publication: Gaussian copula joint models to analysis mixed correlated longitudinal count and continuous responses
