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.