Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Anne Jurczok <jurczok@uni-potsdam.de> |
To | statalist@hsphsun2.harvard.edu |
Subject | AW: Re: st: remaining missings after multiple imputation |
Date | Tue, 20 Apr 2010 15:13:42 +0200 |
Hello,First of all thank you for the advice with the if function in ice. I will certainly try it as well.
Do these observations contain only missing values on the variables you use for the imputation?......I looked at my variables which have missings despite the imputation and found no coherent pattern. Do you have any idea?
Best, Anne --- On Mon, 19/4/10, Anne Jurczok wrote: I decided against using ice, since I have different types of missings in my dataset (hard and soft missings) and I couldn't find any literature about different types of missings handled by ice. It is implicit in the sense that -ice- allows you to specify an -if- statement. So, you could type something like: gen byte soft = lnvermgen < .a ice <varlist> if soft, <other options> Not all cases of my dataset are considered for the imputation. Do these observations contain only missing values on the variables you use for the imputation? -- Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/