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mixed-effects ordinal logistic regression model

2 messages · @hm@dr215 m@ili@g off tpg@com@@u, Paul Buerkner

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@hm@dr215 m@ili@g off tpg@com@@u
# 
Hi list

 

I have a dataset with n=60 animals with two groups (30/group; control and
treatment) on 3 different research sites. Animals are monitored on days 0,
14 and 28 (repeated measures), and lesions are scored from 1-4.

 

I want to use a mixed-effects ordinal logistic regression model and consider
animals and research sites as random-effects in the model.

I haven't done ordinal logistic regression before, and I would like to use
this data and learn how to do the analysis and also interpret the outputs. I
appreciate any help on;

 

1- A book, paper or link on ordinal logistic regression (easy to read and
understand for an average reader) 

2- What is the preferred package in R to analyse such data? I noticed some
have used "Ordinal" package.

3- Is it appropriate to use farm (n=3) as a random-effects in the model? I
assume 3 is small to be considered as a random-effects in the model, your
thoughts? 

4- Because observations are repeated on 3 occasions (repeated measures), I
intend to use animals as a random-effects. 

5- If I use both research sites and animals as random-effects, I assume it
would be a nested random-effects model?

6- I appreciate if someone can help with some R codes on ordinal logistic
regression 

 

Your help is greatly appreciated!

 

Ahmad
Paul Buerkner
# 
Hi Ahmad,

if you want to fit this model in a frequentist framework, I recommend the
"ordinal" package. If you rather want to use a Bayesian framework, I
recommend "brms". For a tutorial paper about ordinal models also containing
R code for brms, see https://psyarxiv.com/x8swp/

Paul

2018-06-23 15:04 GMT+02:00 <ahmadr215 at tpg.com.au>: