Exact(8)
AUC values and adjusted deviance values were not positively correlated.
However, the deviance values are significantly improved for several re-loessed datasets, most notably 10a-d.
Pairs of models were compared using the differences between their deviance values (ΔD).
The expected deviance values for all other physical measurements were above one-half showing two otherwise valid sets [ 18].
Note: Due to the standardization of model variables, regression coefficients and Δ deviance values are directly comparable.
Goodness of fit (GOF) of the final model was tested using the GOF χ-square test applied to the deviance values shown in the SAS output.
Finally, the five deviance values, each from a different subset, were summed up to obtain the cross-validated partial deviance of the entire data set.
Formal statistical comparison of the fits of the excess relative risk and excess absolute risk models is not possible, but an informal comparison based on deviance values suggested that the excess relative risk model fitted the data marginally better.
Related(1)
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