[R-sig-ME] Clarification needed about the terminology used whentalking about mixed models

[Amelie Lescroel]

Thanks a lot Paul. Thus I should be able to fit a random regression model
using lmer. You'll probably hear from me at that time!

-----Original Message-----
From: Thompson,Paul [mailto:Paul.Thompson at sanfordhealth.org] 
Sent: Monday, August 09, 2010 3:08 PM
To: Amelie Lescroel; r-sig-mixed-models at r-project.org
Subject: RE: [R-sig-ME] Clarification needed about the terminology used
whentalking about mixed models


I can start.

1) Mixed models are models which include fixed and random effects.  Mixed
models can be used to estimate and test multi-level models, and random
regression models are among those.  Random regression models are a form of
mixed model, in which each unit at Level 1 has an individualized regression
equation estimated.  The regression often includes a slope (individual rate
of change) and intercept (individually tailored y-intercept).

2) I have no idea what an animal model is, unless you mean one of those
little dinosaur toys :-).

-----Original Message-----
From: r-sig-mixed-models-bounces at r-project.org on behalf of Amelie Lescroel
Sent: Mon 8/9/2010 7:27 AM
To: r-sig-mixed-models at r-project.org
Subject: [R-sig-ME] Clarification needed about the terminology used
whentalking about mixed models
 
Hello,

 

Could someone give me a clear definition of what a "random regression model"
is and what are the differences between a mixed model, a random regression
model and an animal model? I'm beginning to be lost among the multiple
designations. 

 

Thanks,

 

Amelie

 

 

 


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