Hi, We are doing a regression, however there a plenty of missing values, which cannot be dropped, so somehow have to be imputed. Ther are some options, a) Replace the problem regressor by a dummy variable b) Replace the missing by median (it is demographic data) c) Replace the missing data by the trimmed/winsorized mean. d) Replace by mode
Which is better altenative?? 2)Can anyone suggest a good book, on multiple logisticc regression? Thanks **please** email to [EMAIL PROTECTED] Sapsi . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
