Finding a cutoff value in multivariate logistic regression?

[Dcicantab5]

Hi, 

Need advice: I am trying to find cutoffs in a multivariate logistic regression model composed of a categorical predictor and several continuous variables:

PROC LOGISTIC DATA=work.sdcrossvalid OUTEST=_SNSP_EST; 

CLASS Bleed; 

MODEL Outcome(event='1')=

Age_yr_ 

PR 

Plt 

Sr_Creat 

AST 

ALT 

HCO3 

Lactate  

Bleed/ EXPB ;

To determine the cutoff value, I use the following formula:

X_value = (Logit - intercept)/(Sum of estimates of all predictor variables), as adapted from:

ref: Paper 231-2008 

A Macro For Getting More Out Of Your ROC Curve:

X_VALUE = (LOG(_PROB_/(1-_PROB_))-INTERCEPT)/&XVAR 

This paper only refer to a single continuous variable. What if you have several?

Is my denominator (Sum of estimates of all predictor variables) correct?

[Ksharp]

If you have multiple levels for Y , that would lead you to two kind of logistic model:
1) cumulative logistic
2)generalize logistic


The cutoff value means nothing for these two kind of model.
If it is binary logistic model, CTABLE could give you a good vision to cutoff value.


proc logistic data=sashelp.class;
model sex=age weight height/ctable;
run;

[TomHsiung]

Thanks for sharing the code lines and this is what I intend to learn today.

[Ksharp]

Here is a special macro for that purpose .
https://support.sas.com/kb/25/018.html