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AIC and AUC for model fit

AIC and AUC for model fit: SAS Essential Training: 2 Regression Analysis for Healthcare Research
AIC and AUC for model fit: SAS Essential Training: 2 Regression Analysis for Healthcare Research

PROC LOGISTIC output includes the area under the curve (AUC) and the Akaike information criterion (AIC). These model fit statistics are discussed in this video. Although stepwise selection produces a well-fitting model, AUC and AIC can be used to compare models if there is a debate about what covariates to include.

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Skill Level Intermediate
3h 30m
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Skills covered in this course
Big Data IT SAS

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