st: table & chi-square from multiply imputed survey data (-ice-, -mim-) [repost]

["Michael I. Lichter" <mlichter@buffalo.edu>]

(Sorry for the repost, but I initially sent this as part of an unrelated 
thread.)

I want to know how to generate a survey-adjusted chi-square like that 
available from -svy: tab- using data multiply imputed using -ice- (net 
sj 8-1 st0139).

I'd also be interested in suggestions about how to tabulate these data. 
(E.g., would anybody complain if I computed a mean imputed value for 
each variable for each case, rounded them off, and reported that?)

Suppose I have two variables, A & B, each with five categories, each 
measured in survey from a complex design, each with about 10% missing 
data. I want to see a 5x5 table with a chi-square statistic allowing an 
inference about the independence (or not) of A & B. I can impute A & B 
(and some other variables at the same time) using -ice-, but then what 
do I do?

As far as I can tell, -mim- doesn't support -tab- or -svy: tab-, and 
-svy: tab- itself doesn't support prefix commands. I can try predicting 
A from B using -mlogit-, but that seems silly. I can manually do a 
tabulation for each imputation and, I guess, average the chi-square 
statistics, and, I dunno, subtract one degree of freedom, perhaps? I 
don't see anything relevant in the list logs. Suggestions or pointers to 
relevant lit?

Thanks.

Michael

--
Michael I. Lichter, Ph.D.
Research Assistant Professor & NRSA Fellow
UB Department of Family Medicine / Primary Care Research Institute
UB Clinical Center, 462 Grider Street, Buffalo, NY 14215
Office: CC 125 / Phone: 716-898-4751 / E-Mail: mlichter@buffalo.edu

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