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Re: st: Why no predicted probs but exponentiated linear prediction for -adjust- after -xtgee- or -xtmelogit-?


From   "Tim Wade" <wadetj@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Why no predicted probs but exponentiated linear prediction for -adjust- after -xtgee- or -xtmelogit-?
Date   Thu, 18 Dec 2008 07:30:40 -0500

I also found this puzzling especially since the -pr- option is
available in the postestimation for -adjust- after -logit-. Tim


On Wed, Dec 17, 2008 at 10:05 PM, jverkuilen <jverkuilen@gc.cuny.edu> wrote:
> Experimental psych generates reams of repeated measures binomial data (most bad analyzed but that's another story).
>
> Unsurprisingly I was running -xtmelogit- and -xtgee- today to analyze some repeated measures binomial data and was reminded of one of the oddities of the otherwise most excellent -adjust-, namely the fact that it will happily generate exponentiated linear predictions but not predicted probabilities. This seems odd because the predicted probs are just
>
> PredProb = ExpLinPred/(1 + ExpLinPred)
>
> and we don't much care about ExpLinPreds but deeply care about PredProbs.
>
> Yes, I can drive -pred-, etc., but getting colleagues and students to drive Stata on their own can be task enough. -adjust- is a great selling point and students like it... except for this.
>
> Am I missing something?
>
> JV
>
> (who wants to drag experimental psychologists away from the hell that is SPSS, and tilt at other windmills while he's at it)
>
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