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Re: st: RE: combining/integrating the results of -stepwise- and -mim- for variable selection after multiple imputation
From
Jordan Hoolachan <[email protected]>
To
[email protected]
Subject
Re: st: RE: combining/integrating the results of -stepwise- and -mim- for variable selection after multiple imputation
Date
Thu, 9 Sep 2010 15:19:44 -0400
Tony,
I'm not sure what option you are referring to. I've tried the command
xi: mim, cat(combine): stepwise, pr(0.05): logistic ...
but receive the message "prefix stepwise is not allowed after -mim-" .
I also don't see any mention of a stepwise command within the -mim-
help page.
Can you be more specific?
Jordan
On Thu, Sep 9, 2010 at 2:51 PM, Lachenbruch, Peter
<[email protected]> wrote:
> Check out mim. It has a stepwise option. Works well.
>
> Tony
>
> Peter A. Lachenbruch
> Department of Public Health
> Oregon State University
> Corvallis, OR 97330
> Phone: 541-737-3832
> FAX: 541-737-4001
>
>
> -----Original Message-----
> From: [email protected] [mailto:[email protected]] On Behalf Of Jordan Hoolachan
> Sent: Thursday, September 09, 2010 11:30 AM
> To: [email protected]
> Subject: st: combining/integrating the results of -stepwise- and -mim- for variable selection after multiple imputation
>
> Dear All,
>
> I am using Stata 11.1 and attempting to perform variable selection
> after multiple imputation. All 10 imputed datasets are currently
> stacked into one large data set with "_mj" identifying the dataset to
> which an observation belongs and "_mi" identifying observations within
> a data set.
>
> In their paper "How should variable selection be performed with
> multiply imputed data?", Wood et al. (2008) identify a model selection
> approach (the "RR appoach") that utilizes Rubin's rules for estimating
> parameters and standard errors across imputed data sets.
> Specifically, "each model selection step involves fitting the model
> under consideration to all data sets and combining estimates across
> imputed data sets." The only information that they provide in regards
> to actually doing this in Stata is the following: "For the RR method,
> -stepwise- was modified to use the Wald test statistics from
> -micombine- ."
>
> I am only an intermediate Stata user on my best days so I'm not even
> really sure where to start on this. It seems like I need to code an
> iterative procedure in which the results of each -logistic- command
> run under -stepwise- are fed to -micombine (or -mim-) which then
> combines the results across the imputed data sets and finally feeds
> the resulting Wald test statistic back to -stepwise- in order for the
> next -logistic- command to be able to run. Any advice do doing on
> setting up this type of program?
>
> This is the web address of the the Wood et al. paper for your
> reference: http://onlinelibrary.wiley.com/doi/10.1002/sim.3177/abstract
> Unfortunately, access to the full .pdf is only granted if you have a
> subscription. I couldn't find a location in which it is available to
> everyone.
>
> Thanks for the consideration!
>
> Jordan
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