I am looking for an R function that will run multiple imputation (perhaps fully
conditional imputation, MICE, or sequential generalized regression) for non-MVN
data, specifically nominal data. My dependent variable is dichotomous, all my
predictors are nominal. I have a total of 4,500 subjects, 1/2 of whom are
missing the main independent variables. I would appreciate any suggestions that
the users of the listserver might have.
John
John David Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)
Confidentiality Statement:
This email message, including any attachments, is for th...{{dropped:6}}
There are a couple of packages that do MI, including MI for nominal data. The most recent of these is "mi", but I believe "mice" might do it as well. Both are available on the CRAN, and both have useful articles that teach you how to use them. The citations for these articles can be found at the bottom of the help page that appears by typing ?mi OR for mice ?mice mi is the newer package and has some useful control features, but as it is newer it still is under development. Andrew Miles On Nov 2, 2010, at 3:38 PM, John Sorkin wrote:> I am looking for an R function that will run multiple imputation > (perhaps fully conditional imputation, MICE, or sequential > generalized regression) for non-MVN data, specifically nominal data. > My dependent variable is dichotomous, all my predictors are nominal. > I have a total of 4,500 subjects, 1/2 of whom are missing the main > independent variables. I would appreciate any suggestions that the > users of the listserver might have. > John > > > John David Sorkin M.D., Ph.D. > Chief, Biostatistics and Informatics > University of Maryland School of Medicine Division of Gerontology > Baltimore VA Medical Center > 10 North Greene Street > GRECC (BT/18/GR) > Baltimore, MD 21201-1524 > (Phone) 410-605-7119 > (Fax) 410-605-7913 (Please call phone number above prior to faxing) > > Confidentiality Statement: > This email message, including any attachments, is for th...{{dropped: > 6}} > > ______________________________________________ > R-help at 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.
Thank you! John John David Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax) 410-605-7913 (Please call phone number above prior to faxing)>>> Andrew Miles <rstuff.miles at gmail.com> 11/2/2010 3:59 PM >>> There are a couple of packages that do MI, including MI for nominal data. The most recent of these is "mi", but I believe "mice" might do it as well. Both are available on the CRAN, and both have useful articles that teach you how to use them. The citations for these articles can be found at the bottom of the help page that appears by typing ?mi OR for mice ?mice mi is the newer package and has some useful control features, but as it is newer it still is under development. Andrew Miles On Nov 2, 2010, at 3:38 PM, John Sorkin wrote:> I am looking for an R function that will run multiple imputation > (perhaps fully conditional imputation, MICE, or sequential > generalized regression) for non-MVN data, specifically nominal data. > My dependent variable is dichotomous, all my predictors are nominal. > I have a total of 4,500 subjects, 1/2 of whom are missing the main > independent variables. I would appreciate any suggestions that the > users of the listserver might have. > John > > > John David Sorkin M.D., Ph.D. > Chief, Biostatistics and Informatics > University of Maryland School of Medicine Division of Gerontology > Baltimore VA Medical Center > 10 North Greene Street > GRECC (BT/18/GR) > Baltimore, MD 21201-1524 > (Phone) 410-605-7119 > (Fax) 410-605-7913 (Please call phone number above prior to faxing) > > Confidentiality Statement: > This email message, including any attachments, is for ...{{dropped:18}}