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niam
Quartz | Level 8

Hi I have a binary outcome variable and a binary predictor. Observations are grouped at DRIVERID level. 

When I run the model with using DIST=BIN and LINK=LOGIT, the model does not converge, however, if I just run the model without these two options, the model runs and gives me results. 

Can you please let me know why the model fails to converge when I specify that the DV is binary?

The following model runs:

proc gee data=ANALYSIS2 descend;
   class  DRIVERID ;
   model effct=TREATMENT ;
   repeated  subject=DRIVERID  / CORR=IND;
run;

This one does not run:

proc gee data=ANALYSIS2 descend;
   class  DRIVERID ;
   model effect=TREATMENT /dist=bin link=logit;
   repeated  subject=DRIVERID  / CORR=IND;
run;

Here is the error message I get:

The generalized Hessian matrix is not positive definite. Iteration will be terminated.

1 ACCEPTED SOLUTION
2 REPLIES 2
niam
Quartz | Level 8
Hi All, any help will be greatly appreciated

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