Thomas, You might want to read this first: http://www.citeulike.org/user/ctacmo/article/1269394. And this, too: http://www.citeulike.org/user/ctacmo/article/637812.
On 11/3/08, Thomas Soehl <[EMAIL PROTECTED]> wrote: > Hello: > I am working with a stratified survey dataset with sampling weights > and I want to use multiple imputation to help with missingness. > > 1. Is there a way to run an ordered logistic regression using both a > multiply imputed dataset (i.e. from mice) and adjust for the survey > characteristics using the weight variable? The Zelig package is able > to do binary logistic regressions for survey data and handle the > missing data (logit.survey) but I could not find a way to do both for > an ordered logistic model. > > 2. I assume I should use the weights in the process of creating the > multiply imputed datasets as well. Is there a way to do so in any of > the multiple imputation packages in R? -- Stas Kolenikov, also found at http://stas.kolenikov.name Small print: I use this email account for mailing lists only. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
