Article
Variable selection in Bayesian generalized linear-mixed models: an illustration using candidate gene case-control association studies.
Biometrical journal. Biometrische Zeitschrift - 1 Mar 2015
Tsai Miao-Yu
Abstract excerpt
The problem of variable selection in the generalized linear-mixed models (GLMMs) is pervasive in statistical practice. For the purpose of variable selection, many methodologies for determining the best subset of explanatory variables currently exist according to the model complexity and differences between applications. In this paper, we develop a "higher posterior probability model with bootstrap" (HPMB)...
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