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st: Multiple imputation int() option in ICE


From   Alberto Osella <[email protected]>
To   "[email protected]" <[email protected]>
Subject   st: Multiple imputation int() option in ICE
Date   Thu, 18 Nov 2010 11:27:36 +0100

Dear Statalisters,
I'm using Stata 11.1 running on a Windows XP PC. I wisho to impute a data set wit missing data in several variables of diferente type; one of them (BMI) is a continuos variables with a normal distribution. Obviuosly I should to bound BMI because there are some impossible values as 0 or 1000. I wrote the following code using -ice-:

gen LL_BMI=15.32 (minimun value of BMI in my dataset)

gen UL_BMI=48.89 (maximun value of BMI in my dataset)

ice  BMI NewStatCiv Professione1   TitStudio Num_nucleo  ,  ///
m(20) cmd(BMI  Num_nucleo: regress,
Professione1  NewStatCiv:mlogit,  ///
TitStudio:ologit)
int(BMI:LL_BMI UL_BMI ) saving(imputed, replace)

but Stata return the following messagge:

LL_BMI is not a valid covariate
r(198);

Can you helop me. Thank you in advance.

--
Alberto R. Osella, MD, PhD
Laboratorio di Epidemiologia e Biostatistica
IRCCS Saverio de Bellis
Via Turi, 27
70013 Castellana Grotte (BA)
Italia
Tel:    +39 0804994655
Fax:    +39 0804994650
e-mail: [email protected]


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