R-sig-mixed-models Digest, Vol 138, Issue 34
Hi Paul/Trever Thanks for these, much appreciated! I will try these to see which one works, and how the outputs can be interpreted. Ahmad -----Original Message----- From: R-sig-mixed-models <r-sig-mixed-models-bounces at r-project.org> On Behalf Of Trevor Walker Sent: Monday, 25 June 2018 11:53 AM To: r-sig-mixed-models at r-project.org Subject: Re: [R-sig-ME] R-sig-mixed-models Digest, Vol 138, Issue 34 Try googling "Cumulative link mixed model". I have had success with the clm and clmm functions in the ordinal package. -Trevor On Sun, Jun 24, 2018 at 6:00 AM, <r-sig-mixed-models-request at r-project.org> wrote:
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https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models or, via email, send a message with subject or body 'help' to r-sig-mixed-models-request at r-project.org You can reach the person managing the list at r-sig-mixed-models-owner at r-project.org When replying, please edit your Subject line so it is more specific than "Re: Contents of R-sig-mixed-models digest..." Today's Topics: 1. mixed-effects ordinal logistic regression model (ahmadr215 at tpg.com.au) 2. Re: mixed-effects ordinal logistic regression model (Paul Buerkner) ---------------------------------------------------------------------- Message: 1 Date: Sat, 23 Jun 2018 23:04:44 +1000 From: <ahmadr215 at tpg.com.au> To: <r-sig-mixed-models at r-project.org> Subject: [R-sig-ME] mixed-effects ordinal logistic regression model Message-ID: <002501d40af2$c282c360$47884a20$@tpg.com.au> Content-Type: text/plain; charset="utf-8" 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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Message: 2
Date: Sat, 23 Jun 2018 15:30:41 +0200
From: Paul Buerkner <paul.buerkner at gmail.com>
To: ahmadr215 at tpg.com.au
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] mixed-effects ordinal logistic regression
model
Message-ID:
<CAGoSky___sd0xhDeEakt+J0SORs2gUnO_0v_qK_OQY8y-tg=Pw@
mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
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>:
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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