Is it possible to have more than one offset in a logistic (or other)
regression model?
Specifically I have an ordered categorical variable representing levels of a
clinical scoring system. I want to see what the added value of a new
variable is, but I want to constrain the regression coefficients for the
levels of the categorical variable to be unity.
these are approaches I tried (dep is the ordered categorical variable) -
none of which work:
xi: logistic outcome1 i.dep ageatmi, offset(i.dep)
logistic outcome1 _Idep_1 _Idep_2 _Idep_3 _Idep_4 ageatmi, offset( _Idep_1
_Idep_2 _Idep_3 _Idep_4)
logistic outcome1 _Idep_1 _Idep_2 _Idep_3 _Idep_4 ageatmi, offset( _Idep_1)
offset( _Idep_2) offset( _Idep_3) offset( _Idep_4)
Any thoughts?
I think the way to go is to add all your multiple offsets together to make
one grand offset, and use that as your -offset()- option. This will fit the
correct model.
