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Re: st: mi estimate and adjusted means
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: mi estimate and adjusted means
Date
Mon, 14 Apr 2014 16:58:20 +0100
I don't claim to know that. It's just evident that what you want won't
work with non-estimation commands.
Nick
[email protected]
On 14 April 2014 16:50, Pesola, Francesca <[email protected]> wrote:
> Hi Nick,
>
> Thank you for your reply. So I am assuming there is no other way to extrapolate this information, correct?
>
> Cheers,
> F
>
> -----Original Message-----
> From: [email protected] [mailto:[email protected]] On Behalf Of Nick Cox
> Sent: 14 April 2014 15:55
> To: [email protected]
> Subject: Re: st: mi estimate and adjusted means
>
> -tabstat- and -adjust- are not e-class. You want to take your bicycle on your motorway, but it has no engine.
> Nick
> [email protected]
>
>
> On 14 April 2014 15:46, Pesola, Francesca <[email protected]> wrote:
>> Hi Listers,
>>
>> I am running a regression analysis using xtmixed where I adjust the outcome using baseline measures on data which I have imputed using mi ice.
>>
>> I don't seem able to combine the mi estimate command with tabstat/adjust commands - even after specifying the cmdok subcommand (below).
>>
>> xi: mi estimate: xtmixed fQPR_tot bQPR_tot i.Intervention || team: ,
>> mle cov(uns)
>>
>> mi estimate, cmdok: tabstat fQPR_tot, by(Intervention) stat(mean
>> sdmean)
>>
>> mi estimate, cmdok: adjust bQPR_tot , by(Intervention ) se
>>
>> I receive the folloiwubg error message:
>>
>> matrix e(b) is not set
>> matrix e(V) is not set
>> r(301);
>>
>> is there any way around so that I can estimate adjusted means on the imputed data?
>>
>> Thanks,
>> F
>>
>>
>>
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