摘要: Generalized linear models offer convenient and highly applicable tools for modeling predicting the behavior of random variables in terms observable factors covariates. This paper investigates applications a special case generalized model to improve accuracy predictions decisions adopting Bayesian methods, specific context assessing coronary artery disease. The basic is developed this application using binary response. results clearly demonstrate potential advantages offered by approach.
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