[R] Logistic regression with multiple imputation

From: Daniel Chen <news_at_pushih.com>
Date: Wed, 30 Jun 2010 00:14:44 -0500


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!


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