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 <[EMAIL PROTECTED]> 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: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Shige Song Sent: Monday, February 28, 2005 12:18 PM To: R-help@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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Thomas Lumley Assoc. Professor, Biostatistics [EMAIL PROTECTED] University of Washington, Seattle
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