NAs in fixed effects
On Wed, 5 Jan 2011, Henrik Thurfjell wrote:
I have a rather large dataset which needs one random effect to be analysed properly (group). I also have many explanatory variables, each with a few NAs at different places. I can easily enough fit a model with 2 fixed effects, but as the number of fixed effects increase so does tha NAs as they are not in the same rows. I am no statistician, and this may be a naive question, but is there a way to fit each fixed effect with its full data?
One way out is to impute the missing data, recalling you would have had the same problem if you wanted to just fit a fixed effects model.
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