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st: RE: Multiple imputation using ice error
You may have partial separation of your data with your logistic
regression command. I believe logit will drop dummy variables that
perfectly predict a subset of the cases, and this is likely happening in
some (but not all) of your imputed datasets. Try running
cross-tabulations between acr30 and the problematic variable, across
each imputed dataset--that should be able to detect whether my guess is
right or not!
Eric
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Sham Lal
Sent: Tuesday, October 21, 2008 9:27 AM
To: [email protected]
Subject: st: Multiple imputation using ice error
Dear all,
I have imputed a dataset using ICE, I have used it a few it along with
mim once before. However, with this dataset when I use mim I get the
following error message:
Code : foreach x of varlist rs10498036 rs12477799 rs12995526 rs16853826
rs4672768 ///
rs4673990 rs13830 rs2295553 rs3810560 rs4815576 rs6037506 rs6051639
rs6051644 ///
rs6051655 rs6084305 rs6139035 rs10483080 rs12483377 rs1556329 rs17004785
rs2236475 rs2236479 ///
rs2274808 rs2838950 rs2838951 rs2838956 rs3753019 rs3788205 rs7499
rs9977268 rs11702425 {
xi: mim: logit acr30 i.`x', or
}
Error: covariates in analysis of imputed dataset 6 do not match those of
imputed dataset 1
It is able to perform some regressions but not all.
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