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Re: Re: Re: Re: st: Situation where multiple imputation may be of no use?
From
Clyde B Schechter <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: Re: Re: Re: st: Situation where multiple imputation may be of no use?
Date
Fri, 17 Feb 2012 15:32:10 +0000
Belated but profound thanks to Stas Kolenikov and Maarten Buis for their further thoughts on my question.
Stas--my MNAR simulations were precisely the two situations you describe (well, the effect size I chose was a bit smaller, reflecting what I expect in my proposed study). And they do indeed show that with missing data only in the dependent variable, neither MI nor FIML leads to any improvement in statistical power, nor do they correct bias at all.
Maarten--what an elegant application of Bayes' theorem. Wish I had thought of it. It puts my remaining doubts about this to rest.
Clyde Schechter
Dept. of Family & Social Medicine
Albert Einstein College of Medicine
Bronx, NY, USA
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