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    $\begingroup$ 50% missing values for a crucial variable? Ugh. Rather than impute, why not create a 'Missing' category for the variable? $\endgroup$
    – RobertF
    Commented Apr 24, 2014 at 19:39
  • $\begingroup$ No one variable has 50% missing, but about 50% is missing on at least one. Also, they are continuous, so "missing" would mess things up. $\endgroup$
    – Peter Flom
    Commented Apr 24, 2014 at 20:05
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    $\begingroup$ Ah. I get nervous using imputation. I wonder about the merits of having a continuous variable with 50% values imputed vs. converting the cont. variable to categorical with a 'Missing' category plus enough bins to capture the behavior the non-missing values? $\endgroup$
    – RobertF
    Commented Apr 24, 2014 at 20:10
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    $\begingroup$ I don't like binning continuous variables. $\endgroup$
    – Peter Flom
    Commented Apr 24, 2014 at 20:15