[R-sig-ME] Cross-classified multilevel binary logistic regression model with random effects at level 2

MACDOUGALL Margaret Margaret.MacDougall at ed.ac.uk
Fri Sep 16 18:45:20 CEST 2016

Thank you for this valued suggestion, Harold. I look forward to reading this paper and getting back to you directly with any comments.

Best wishes


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-----Original Message-----
From: Doran, Harold [mailto:HDoran at air.org] 
Sent: 14 September 2016 19:22
To: MACDOUGALL Margaret <Margaret.MacDougall at ed.ac.uk>; r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] Cross-classified multilevel binary logistic regression model with random effects at level 2

Our paper below does exactly this


On 9/14/16, 12:14 PM, "MACDOUGALL Margaret" <Margaret.MacDougall at ed.ac.uk>

>I am not a seasoned R user and am therefore keen to identify a book 
>chapter that provides structured advice on using R to set up the type 
>of model I am interested in. I would like to run a cross-classified 
>multilevel binary logistic regression model. The model contains two 
>2 random effects variables. These variables are crossed to form a 
>cross-classified design. The model has subjects at level one and these 
>subjects are nested within each of the two level 2 variables. I 
>understand that the R package lme4 may be suitable for running my model 
>and that there are several published books on running mixed models in R.
>If a list member is able to kindly recommend whether one of these books 
>is particularly helpful in enabling less experienced R users to fully 
>understand how to use this (or an alternative) program specifically for 
>the model I have outlined above, I would be most grateful for 
>Best wishes
>Dr Margaret MacDougall
>Medical Statistician and Researcher in Education Centre for Population 
>Health Sciences College of Medicine and Veterinary Medicine Teviot 
>Place University of Edinburgh Edinburgh EH8 9AG
>Margaret.MacDougall at ed.ac.uk<mailto:Margaret.MacDougall at ed.ac.uk>
>Tel: +44(0)131 650 3211
>Fax: +44(0)131 650 6909
>Personal profile: http://www.ed.ac.uk/profile/margaret-macdougall

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