Hi, I am a long time SPSS user but new to R, so please bear with me if my questions seem to be too basic for you guys.
I am trying to figure out how to analyze survey data using logistic regression with multiple imputation. I have a survey data of about 200,000 cases and I am trying to predict the odds ratio of a dependent variable using 6 categorical independent variables (dummy-coded). Approximatively 10% of the cases (~20,000) have missing data in one or more of the independent variables. The percentage of missing ranges from 0.01% to 10% for the independent variables. My current thinking is to conduct a logistic regression with multiple imputation, but I don't know how to do it in R. I searched the web but couldn't find instructions or examples on how to do this. Since SPSS is hopeless with missing data, I have to learn to do this in R. I am new to R, so I would really appreciate if someone can show me some examples or tell me where to find resources. Thank you! Daniel [[alternative HTML version deleted]] ______________________________________________ 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.