Statistical estimation and comparison of group-specific bivariate correlation coefficients in family-type clustered studies
DOI10.1080/02664763.2021.1899141OpenAlexW3137875052MaRDI QIDQ5092995
Jingqin Luo, Jasmeer P. Chhatwal, Ling Chen, Guoqiao Wang, Jingxia Liu, Gregory S. Day, Jonathan Vöglein, Feng Gao, Chengjie Xiong, Anne M. Fagan, Unnamed Author
Publication date: 26 July 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2021.1899141
parameter estimationhypothesis testingconfidence intervalbivariate linear mixed effects modelbivariate correlation coefficienttype-I error/size and power
Uses Software
Cites Work
- Bivariate correlation coefficients in family-type clustered studies
- Hierarchical Bayesian modeling of heterogeneous cluster- and subject-level associations between continuous and binary outcomes in dairy production
- Multivariate Dispersion Models Generated From Gaussian Copula
- Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
- Estimating Correlation Coefficient between Two Variables with Repeated Observations using Mixed Effects Model
- Fixed and Random Effects Selection in Linear and Logistic Models
- Bayesian correlation estimation
- Bayesian Covariance Selection in Generalized Linear Mixed Models
This page was built for publication: Statistical estimation and comparison of group-specific bivariate correlation coefficients in family-type clustered studies
