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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 20:37:20 +0100

For much more detail from the authoritative source, see

http://www.statalist.org/forums/forum/general-stata-discussion/general/1481-mi-support-for-user-written-commands

All lifeforms should seek to leave the sinking ship....
Nick
[email protected]


On 14 April 2014 16:58, Nick Cox <[email protected]> wrote:
> 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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