st: predicted probabily at different values of time

[rowa0068@umn.edu]

Hi,

I'm using Stata 12 and am trying to get the predicted probability of an 
outcome at each of 6 time points (time is a continuous variable), on 
imputed data.
I am looping over categories of insurance, and time is my predictor of 
interest:

forvalues i = 0/2 {
mi estimate, dots esampvaryok saving(miestim_acc_modi`i', replace): ///
   svy, subpop(if.... insurcatr ==`i'): logit sawmentr time i.raceb....etc
}
Then I try to get the predicted value for my outcome for each insurance 
group.
forvalues i= 0/2 {
mi predict xb_mi`i' if insurcatr ==`i' using miestim_acc_modi`i'
generate predinsmod`i' = invlogit(xb_mi`i')
}

But this does not seem right; I'd like predictions of my outcome at each 
time point, but the predicted value from above is at the means of all my 
predictors, correct? Would I have to run 6 regressions to create 6 ".ster" 
data sets for each time point, and use "mi predict" for each data set?

But a broader question is can I specify values of the prediction, as the 
margins command allows you to do? Margins will not work on imputed data, 
the program I found on a help site was cool but didn't seem to work 
(http://www.stata.com/statalist/archive/2010-03/msg01021.html). I'm also 
not clear margins are what I want for a continuous variable.

Thanks, 
Kath


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