Re: Missing Data

On Feb 6, 8:17 am, Gary <LanceG...@xxxxxxxxx> wrote:
A general question. How should stats software be programmed to
implement routines for missing data? Ideally the user should know what
the routines are doing so they shouldn't be automatic. But perhaps the
user ought to be advised, offered various options? In other words, if
you were writing a new program for general statistical analysis how
would you implement routines for handling missing data? What routines
would you include? And why?

There are some rather nice sources for treating missing data:

http://www.lcgceurope.com/lcgceurope/data/articlestandard/lcgceurope/...

http://www.uvm.edu/~dhowell/StatPages/More_Stuff/Missing_Data/Missing...

Perhaps there are other good ones out there.

Lance


Here are some articles (and a website) that I've found useful.

A***, A. C. (2005). Working with missing values. Journal of Marriage
and Family, 67, 1012-1028.

Donders, A. Rogier T., van der Heijden, Geert J.M.G., Stijnen, T., &
Moons, K. G. M. (2006). Review: A gentle introduction to imputation of
missing values. Journal of Clinical Epidemiology, 59, 1087-1091.

Multiple Imputation Online. http://www.multiple-imputation.com/

Schafer, J. L. (1999). Multiple imputation: A primer. Statistical
Methods in Medical Research, 8, 3-15.

Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the
state of the art. Psychosomatic Medicine, 7(2), 147-177.

von Hippel, Paul T. (2004). Biases in SPSS 12.0 missing value
analysis. The American Statistician, 58(2), 160-164.

--
Bruce Weaver
bweaver@xxxxxxxxxxxx
www.angelfire.com/wv/bwhomedir
"When all else fails, RTFM."
.