[R-sig-ME] mixed-effects ordinal logistic regression model
Paul Buerkner
p@ul@buerkner @ending from gm@il@com
Sat Jun 23 15:30:41 CEST 2018
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 using tpg.com.au>:
> 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
>
>
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