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- W3033828601 abstract "We prove that the Bayesian information criterion approximates the Bayes factor for the multivariate logistic regression model for arbitrary and the unit information prior distributions and give the order of approximation. Further, we provide a framework in R for the Bayesian multivariate logistic regression. Using univariate and multivariate logistic regression models we develop a risk prediction model for five adverse pathological outcomes after prostatectomy based on electronic medical records." @default.
- W3033828601 created "2020-06-12" @default.
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- W3033828601 date "2020-01-01" @default.
- W3033828601 modified "2023-09-24" @default.
- W3033828601 title "Bayesian information criterion approximations for model selection in multivariate logistic regression with application to electronic medical records" @default.
- W3033828601 hasPublicationYear "2020" @default.
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