Hi there,

 

I am looking for a possibility to test the proportionality assumption in a
discrete time hazard model. In a continuous time hazard model (Cox model),
the Schoenfield residual test can be applied. Now I would like to apply this
to my random effects discrete time hazard model. I am not sure, if the test
is possible in a discrete time setting. However if yes, is there a
possibility in R to carry out the test? For the Cox model, the test is made
by using the cox.zph command in the coxph package.

 

My original model is coded as follows:

 

(logit.full <-

   glmer(event ~ b1

         + b2

         + b3 *

           I(b4 - 4)

         + obsnum1 + obsnum2 + obsnum3

         + (1 + obsnum1 + obsnum2 + obsnum3 | country_cluster),

         family=binomial("logit"), data=data.final))

 

 

Any help would be appreciated very much!

 

Best

Alex


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