PROC GAMPL is used to model a non-linear relationship between patie…

Question

PROC GAMPL is used to model a non-linear relationship between patient age and hospital readmission. Which aspect of PROC GAMPL's penalized spline distinguishes it from including polynomial terms in PROC LOGISTIC?

Accepted Answer

PROC GAMPL automatically selects the smoothing penalty from data, while polynomial terms require the analyst to pre-specify degree — Here's the deal — PROC GAMPL's penalized splines use a data-driven smoothing parameter that automatically balances flexibility and smoothness. You don't have to pre-specify a polynomial degree, which can be under- or over-specified.

Answer

PROC GAMPL's spline is constrained to be monotone increasing; polynomial terms in PROC LOGISTIC can be non-monotone

Answer

PROC GAMPL's spline is only valid for continuous outcomes; polynomial terms in PROC LOGISTIC work for binary outcomes modeled with a logit link

Answer

PROC GAMPL requires the predictor to be standardized before fitting; PROC LOGISTIC polynomial terms do not

PROC GAMPL is used to model a non-linear relationship between patient age and hospital readmission. Which aspect of PROC GAMPL's penalized spline distinguishes it from including polynomial terms in PROC LOGISTIC?

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