请教一个proc logistic的问题

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data q52;
input Alcohol_Consumption $ yes total;
cards;
0 48 17144
<1 38 14502
1-2 5 793
3-5 1 127
>=6 1 38
;
run;

proc logistic data=q52 descending;
class Alcohol_Consumption;
model yes/total=Alcohol_Consumption /scale=none aggregate;
run;


以上是代码
Deviance and Pearson Goodness-of-Fit Statistics的df为什么是0

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关键词：logistic ogistic logisti logist logis

proc logistic 因变脸难道不应该是0 或者1吗？你这里好像是介于0和1之间？

In your data for the model, Number of unique profiles = 5. Variable Alcohol_Consumption takes DF of 4 and Intercept of 1 and thus total 5. 5-5=0. There is no DF left at all. That is, you are fitting a saturated model. Goodness-of-Fit, say Deviance, is to test the difference between the Full model and the model for Aggregated variables (it is the full model here). That is why the value of Deviance =0 as well.

You can see my blog in which I did some simple calculations.

JingJu