Important things to report is how many missing values are you filling with
the procedure. If 50% of your observations was "created" in that way then
none reviewer should consider your paper as a serious research (maybe some).
I hope this helps you,
Rodrigo.
----- Original Message -----
From: "Claire M. Kamp Dush" <[email protected]>
To: <[email protected]>
Sent: Monday, May 21, 2007 9:11 PM
Subject: st: micombine and overall model fit statistics
> Dear statalist community,
>
> I am using micombine to deal with my missing data. I only have one
> issue - how do I get an overall model fit statistic with micombine? Is
> this possible? For instance, I am using:
>
> micombine regress
> micombine stcox
> micombine logistic
> micombine nbreg
>
> Under normal circumstances, I would get an F, r-square, chi-square or some
> other indicator of overall model fit if I was not using the micombine
> pre-fix. But, I do not get an F, or chi-square, with micombine. What I
> have done then is run each of my models separately within each of my 5
> imputed datasets using if _j == `num' . . . And, then I thought I could
> somehow combine the results for an overall chi-square or F. Of course, I
> am sure I am violating a million rules by averaging these 5 F-values
> together. Any advice? I just don't want my reviewers, who don't use
> micombine, to question my results because I don't have the overall fit
> reported, and I don't want to turn my paper into a statistical treatise
> (i.e. report all of the results from all 5 models, etcetera, then compare
> this to the original results), I just want to use micombine as a tool
> because I don't have room in this paper to expand in this way.
>
> Any advice would be great.
> Thanks,
> Claire
>
>
> Claire M. Kamp Dush
> Institute for the Social Sciences Postdoctoral Fellow
> Evolving Family Theme Project
> Cornell University
> http://www.socialsciences.cornell.edu/0407/evolv_fam_desc.html
>
>
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