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Re: st: ICE with Interval Error #459 multiple imputation
From
A Loumiotis <[email protected]>
To
[email protected]
Subject
Re: st: ICE with Interval Error #459 multiple imputation
Date
Mon, 13 Aug 2012 09:20:13 +0300
Hi Laura,
I'm not sure if you are setting up your lower and upper variables
correctly because you said that when the observation is not missing
both upper and lower bounds take the value of 7. This is not correct.
They must be equal to the non-missing value. Here is an example of
how they should look:
input sclifeca2 ll1 ul7
4 4 4
. 1 7
2.5 2.5 2.5
3 3 3
. 1 7
end
Best,
Antonis
On Fri, Aug 10, 2012 at 9:32 PM, Laura Kudrna <[email protected]> wrote:
> Hi,
>
> Thank you for your response. Apologies about ICE, I'm new to the
> listserve: ICE comes from //www.homepages.ucl.ac.uk/~ucakjpr/stata/
>
> To answer your question about the bounds, yes: when I created the
> upper limit variable ul7 that has no missing values and I include it
> in the ice code, the upper and lower bounds remain 7. But for
> example, when I impute my variable sclifeca2 "Life Satisfaction"
> which has a scale of 1 to 7 I get imputed values ranging from -0.5 to
> 9. I am using multiple imputation to impute all the predictor and
> explanatory variables at once.
>
> I replicated the STATA code precisely from the ICE help for interval.
>
> ICE help for interval states: ...intlist has the syntax varname:llvar
> ulvar [, varname:llvar ulvar ...], where each varname is an
> interval-censored variable, each llvar contains the lower bound (a)
> for varname and each ulvar contains the upper bound (b)
>
> My syntax is: ice ll1 ul7 sclifeca2 .....(other variables).....,
> saving(imputed_dataset) m(5) interval(sclifeca2:ll1 ul7).
>
> I still can't understand why I am getting the error message and I
> would be most grateful if you have any other suggestions on how to fix
> it.
>
> Best wishes,
> Laura
>
>
> On Fri, Aug 10, 2012 at 7:32 AM, A Loumiotis
> <[email protected]> wrote:
>> If the variable that you are imputing with interval regression is not
>> missing then the lower and upper bounds should equal that non missing
>> value. Is this true in your case? See -help ice- especially the
>> interval option.
>>
>> -ice- is a user written program available from SJ-9-3. Please state
>> where user written programs come from as explained in Statalist FAQ.
>>
>>
>>
>>
>> On Fri, Aug 10, 2012 at 12:29 AM, Laura Kudrna <[email protected]> wrote:
>>> Hi,
>>>
>>> I am having the same error message / problem as the post below from
>>> the STATA message boards - Error #459. It occurs when using the
>>> interval option with ICE.
>>>
>>> I generated two variables, ll1 and ul7, containing values of 1 and 7
>>> respectively to set the upper and lower bound for my variable
>>> sclifeca2.
>>>
>>> My STATA code is:
>>>
>>> ice ll1 ul7 sclifeca2 sclifeca3 sclifeca4 sclddr2 sclddr3 sclddr4
>>> iincome2 iincome3 iincome4 education2 occupation2 unemployed2
>>> unemployed3 sex2 age2 age3 age4 partner2 partner3 partner4 vehicles2
>>> vehicles3 vehicles4 holiday2 holiday3 holiday4 secprop2 secprop3
>>> secprop4 weight2 weight3 weight4, saving(imputed_dataset) m(5)
>>> interval(sclifeca2:ll1 ul7)
>>>
>>> My error message is:
>>> Error #459 encountered while running -uvis-
>>> I detected a problem with running uvis with command intreg on response sclifeca2
>>> and covariates sclifeca3 sclifeca4 sclddr2 sclddr3 sclddr4 iincome2
>>> iincome3 iincome4 education2 occupation2 unemployed2 unemployed3 sex2
>>> ag
>>>> e2 age3 age4 partner2 partner3 partner4 vehicles2 vehicles3 vehicles4 holiday2 holiday3 holiday4 secprop2 secprop3 secprop4 weight2 weight
>>>> 3 weight4.
>>>
>>> The offending command resembled:
>>> uvis intreg sclifeca2 sclifeca3 sclifeca4 sclddr2 sclddr3 sclddr4
>>> iincome2 iincome3 iincome4 education2 occupation2 unemployed2
>>> unemployed3
>>>> sex2 age2 age3 age4 partner2 partner3 partner4 vehicles2 vehicles3 vehicles4 holiday2 holiday3 holiday4 secprop2 secprop3 secprop4 weight2
>>>> weight3 weight4 , gen([imputed])
>>>
>>> you may wish to try the -persist- option to persist beyond this error.
>>> dumping current data to ./_ice_dump.dta
>>> something that should be true of your data is not
>>>
>>> When I use the "persist" option, the data is imputed, but doesn't set
>>> the upper and lower bounds of my variable.
>>>
>>> Any ideas?!
>>>
>>> Thanks a lot.
>>>
>>> Best,
>>> Laura
>>>
>>> --------------------------------------------------------------------------------
>>> [Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
>>> st: ICE with intervall
>>>
>>> --------------------------------------------------------------------------------
>>> From "Renger van Nieuwkoop" <[email protected]>
>>> To <[email protected]>
>>> Subject st: ICE with intervall
>>> Date Wed, 27 Oct 2010 11:02:00 +0200
>>>
>>> --------------------------------------------------------------------------------
>>>
>>> Hi
>>> I am trying to use ICE with interval imputation (the values are censored
>>> and are not allowed to be below 0).
>>> I have generated two variables co2_lb (lower bound) = 0 and co2_ub
>>> (upper bound) = . and then tried
>>> ice c01 c02 c02_lb c02_ub inc_earned, m(5) saving(imputed)
>>> interval(c02:c02_lb c02_ub) replace
>>> Without interval I have no problems with ICE, with interval I get the
>>> following output (see below).
>>> Any idea what I am doing wrongly?
>>> Thanks
>>> Renger
>>>
>>>
>>>
>>> . ice c01 c02 c02_lb c02_ub inc_earned, m(5) saving(imputed)
>>> interval(c02:c02_lb c02_ub) replace
>>>
>>> #missing |
>>> values | Freq. Percent Cum.
>>> ------------+-----------------------------------
>>> 0 | 25,181 85.37 85.37
>>> 1 | 3,579 12.13 97.50
>>> 2 | 735 2.49 100.00
>>> 3 | 1 0.00 100.00
>>> ------------+-----------------------------------
>>> Total | 29,496 100.00
>>>
>>> Variable | Command | Prediction equation
>>> ------------+---------+-------------------------------------------------
>>> ------
>>> c02_lb | | [Lower bound for c02]
>>> c02_ub | | [Upper bound for c02]
>>> c01 | regress | c02 inc_earned
>>> inc_earned | regress | c01 c02
>>> c02 | intreg | c01 inc_earned
>>> ------------------------------------------------------------------------
>>> ------
>>>
>>> Imputing [Note: in regression for c01, permanently removing c02 due to
>>> collinearity]
>>> [Note: in regression for inc_earned, permanently removing c02 due to
>>> collinearity]
>>>
>>> Error #459 encountered while running -uvis-
>>> I detected a problem with running uvis with command intreg on response
>>> c02
>>> and covariates c01 inc_earned.
>>>
>>> The offending command resembled:
>>> uvis intreg c02 c01 inc_earned , gen([imputed])
>>>
>>> you may wish to try the -persist- option to persist beyond this error.
>>> dumping current data to ./_ice_dump.dta
>>> something that should be true of your data is not
>>> r(459);
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