[R] Using mutiply imputed data in NLME

[Thomas Lumley]

On Tue, 1 Mar 2005, Shige Song wrote:

> For example
>
> Will NLME work with mitools written by Thomas Lumley?

Yes, but since the coefficients are not just returned by the coef() 
function you will need to use the full MIextract/MIcombine approach rather 
than the shortcut of just using MIcombine() on the list of models.

 	-thomas

>
> 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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>>
>
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Thomas Lumley			Assoc. Professor, Biostatistics
tlumley at u.washington.edu	University of Washington, Seattle