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Ruth
Fluorite | Level 6

Hi,

I used PROC LOGISTIC to run a model using backward variable selection method. For this method, the final set of variables that were kept in the model have p-values >0.05 for the Type3 analysis. This is not good if I want to keep only those variables with p-value<=0.05. Can I ask how I can control the significance level for the final variables in PROC LOGISTIC?

THANKS.

3 REPLIES 3
StatDave
SAS Super FREQ

If you have interactions in the model, the default is to maintain a heirarchical model.  That is, if A*B is in the model, then A and B are required to be in the model.  In such a case, A or B may not meet the significance level requirements.  You can turn off model hierarchy with the HIER= option in the MODEL statement.

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