R help - Feb 2005 - Using mutiply imputed data in NLME

Dear All,

I am doing a growth modeling using NLME. I have three levels in my
data: observation, individual, household. About half of my total
sample have missing values in my household-level covariates. Under
this situation, the best way to go is probably to multiply impute the
data (for, say, 5 times), estimate the same model separately on each
model using LME function, and merge the results. My question is: given
the multiply imputed data sets have already been generated, is there a
simple way to automate the process of estimating the mixed model and
merging the results? HLM has similar features...

Thanks!

Best,
Shige

For example

Will NLME work with mitools written by Thomas Lumley?

Shige

On Mon, 28 Feb 2005 13:02:54 -0500, Doran, Harold <HDoran at air.org>
wrote:
> Well, I may be missing something but why don't you call each dataframe
> from within a loop and save the results in a new data frame each time?
> 
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Shige Song
> Sent: Monday, February 28, 2005 12:18 PM
> To: R-help at stat.math.ethz.ch
> Subject: [R] Using mutiply imputed data in NLME
> 
> Dear All,
> 
> I am doing a growth modeling using NLME. I have three levels in my
> data: observation, individual, household. About half of my total sample
> have missing values in my household-level covariates. Under this
> situation, the best way to go is probably to multiply impute the data
> (for, say, 5 times), estimate the same model separately on each model
> using LME function, and merge the results. My question is: given the
> multiply imputed data sets have already been generated, is there a
> simple way to automate the process of estimating the mixed model and
> merging the results? HLM has similar features...
> 
> Thanks!
> 
> Best,
> Shige
> 
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