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Re: st: Multiple imputation int() option in ICE
From
A Loumiotis <[email protected]>
To
[email protected]
Subject
Re: st: Multiple imputation int() option in ICE
Date
Thu, 18 Nov 2010 12:44:13 +0200
and something more... the bound variables should be equal to BMI when
BMI is not missing.
On Thu, Nov 18, 2010 at 12:35 PM, A Loumiotis
<[email protected]> wrote:
> I think you should include your bound variables in the mainvarlist:
>
> ice BMI LL_BMI UL_BMI NewStatCiv Professione1 TitStudio Num_nucleo , ///...
>
> On Thu, Nov 18, 2010 at 12:27 PM, Alberto Osella
> <[email protected]> wrote:
>> 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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>>
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>
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