two-part models

[proctice]

The logit model part of a ZIP model models the extra zeros as the outcome, but my client wants the probability of a count greater than 0 instead.  Is it appropriate to do 2 completely separate models - a proc logistic modeling count>0 and a proc genmod with the zeros excluded modeling the count part?

[Rick_SAS]

I think I would stick with the ZIP model. You can use GENMOD or PROC FMM. The model will predict the probability of a zero count, which is P(Y=p | x). The client wants "one minus that predicted probability": 1 - P(Y=0| x)

[proctice]

They are more interested in the odds ratios being in the right direction, can I just invert them?

[Rick_SAS · Accepted solution]

You can invert odds ratios by using the EVENT= option on the response variable on the MODEL statement.

Instead of 

model y(event="0") = x1 x2 x3;

you can invert the odds ratio by using

model y(event="1") = x1 x2 x3;