Modeling binary familial data using Gaussian copula
Communications in Statistics - Theory and Methods
Modeling binary familial data has been a challenging task due to the
dependence among family members and the constraints imposed on
the joint probability distribution of the binary responses. This paper
investigates some useful familial dependence structures and proposes
analyzing binary familial data usingGaussian copula model.Advantages
of this approach are discussed aswell as some computational details. An
numerical example is also presented with an aim to show the capability
of Gaussian copula model in more sophisticated data analysis.
Gaussian copula, familial dependence, maximum likelihood, binary data
Applied Statistics | Categorical Data Analysis | Multivariate Analysis
Yihao Deng (2017).
Modeling binary familial data using Gaussian copula. Communications in Statistics - Theory and Methods.46 (20), 10097-10102.
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