<>
Was this really intended for public consumption?
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Megan Andrew
Gesendet: Mittwoch, 6. Mai 2009 21:54
An: [email protected]
Betreff: st: Re: AW: prediction after fitting a multi level model with
xtmixed
Okay, I'll stop by tomorrow afternoon then with the money I owe you guys.
Hopefully I will know by Friday whether I will have more coding for you.
Megan
----- Original Message -----
From: "Martin Weiss" <[email protected]>
To: <[email protected]>
Sent: Wednesday, May 06, 2009 2:49 PM
Subject: st: AW: prediction after fitting a multi level model with xtmixed
><>
>
> On -xtmixed- you always want to take into account
> http://www.stata.com/meeting/fnasug08/gutierrez.pdf
>
> Seems to me I can get a prediction for the weight of those pigs in -h
> xtmixed- after 2 and a half weeks, although measurements were taken only
> weekly...
>
> *************
> webuse pig, clear
> xtmixed weight week || id:
> adjust week=2.5, xb
> *************
>
>
>
> HTH
> Martin
>
> -----Ursprüngliche Nachricht-----
> Von: [email protected]
> [mailto:[email protected]] Im Auftrag von W.O.Johnson
> Gesendet: Mittwoch, 6. Mai 2009 19:31
> An: [email protected]
> Betreff: st: prediction after fitting a multi level model with xtmixed
>
> I have fitted a random effect and coefficient multi-level model to some
> infant growth (weight) data, using xtmixed. I have used the model to fit
> growth trajectories between 0-1yr. I want to predict each individuals
> weights at ages where they don't have a measurement (i.e. what is each
> individuals weight at 0,3,6,9,12 months, understanding that most
> individuals
> will not have a measurement at these ages). If anyone can help I will be
> very grateful.
>
> Will
>
>
>
> _________________________
>
> William. O. Johnson
> PhD Candidate
> Centre for Human Development & Ageing
> Department of Human Sciences
> Loughborough University
> Loughborough
> Leicestershire
> LE11 3TU
>
> t: +44 (0) 1509 228159
> e: [email protected]
>
>
>
>
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>
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