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- W2749682743 abstract "A logistic regression model is a specialized model for product-binomial data. When a proper, noninformative prior is placed on the unrestricted model for the product-binomial model, the hypothesis H 0 of a logistic regression model holding can then be assessed by comparing the concentration of the posterior distribution about H 0 with the concentration of the prior about H 0. This comparison is effected via a relative belief ratio, a measure of the evidence that H 0 is true, together with a measure of the strength of the evidence that H 0 is either true or false. This gives an effective goodness of fit test for logistic regression." @default.
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- W2749682743 date "2017-08-31" @default.
- W2749682743 modified "2023-09-25" @default.
- W2749682743 title "Goodness of fit for the logistic regression model using relative belief" @default.
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- W2749682743 doi "https://doi.org/10.1186/s40488-017-0070-7" @default.
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