Re: Interactions binary logistic regression

Posted by Bruce Weaver on Dec 15, 2016; 9:57pm
URL: http://spssx-discussion.165.s1.nabble.com/Interactions-binary-logistic-regression-tp5733602p5733622.html

From the IBM Knowledge Center (re GENLIN with GEE):

Using Generalized Estimating Equations to Fit a Repeated Measures Logistic Regression
http://www.ibm.com/support/knowledgecenter/SSLVMB_24.0.0/spss/tutorials/gee_wheeze_intro.html

Rather than using GENLIN with generalized estimating equations (GEE), you could use GENLINMIXED, with the repeated measures clustered within subjects.  One or two of the examples on the following page may be close enough to give you the general idea.  (E.g., the second example has repeated measures; but you would have to use logit link and binomial error distribution rather than log link and Poisson error distribution.)

http://www.ibm.com/support/knowledgecenter/SSLVMB_20.0.0/com.ibm.spss.statistics.help/idh_glmm.htm

HTH.

PhD student wrote

Yes, I totally agree but as I am not familiar with interactions in logistic regression (and as I though that splitting the level of risk and recomputing the regression for each modality could be a solution to interpret significant interactions) I thought that having a dichotomous Level of risk also has the advantage to be easier to interpret. I am going to take a look to the GenLin procedure suggested by Mr Maguin, it might give me useful insight to interpret this significant interaction without coarsening the Level of risk.