[R] Repeated measures cummulative logit mixed model

David Winsemius dwinsemius at comcast.net
Tue Aug 16 15:16:51 CEST 2011


On Aug 16, 2011, at 9:07 AM, David Winsemius wrote:

>
> On Aug 16, 2011, at 6:36 AM, Jim Trabas wrote:
>
>> Dear R help gurus,
>>
>>
>> I have the following problem and I would be delighted if you could  
>> help me.
>>
>>> From a large (1500) cohort of patients we have been taking some  
>>> measurements
>> (ECG measurements, but its not important). The measurements are  
>> ordinal in 4
>> grades (Grade I-IV, grade IV being the most severe form). Every  
>> patients has
>> been measured several times (usually once per year). The follow-ups  
>> are
>> different for each patient (ranging from days to several years),  
>> thus some
>> patients have only 1 measurement and some have several. A patient  
>> can shift
>> from Grade to Grade, that is a patient can be measured now as Grade  
>> I and
>> later as Grade II and then at then next measurement he can return  
>> to Grade
>> I.
>
> This should probably be followed up on the mixed models SIG list.

A further citation from that list:
https://stat.ethz.ch/pipermail/r-sig-mixed-models/2008q3/001214.html
"> Is there an mixed effects R package that can be used to model  
ordinal  data?
  DPMolmm in Alejandro Jara's DPpackage will do."
> (Using Baron's RSiteSearch page.)
>
> Search results with : repeated "proportional odds logistic"
>
> http://finzi.psych.upenn.edu/R/library/repolr/html/00Index.html
> http://finzi.psych.upenn.edu/R/Rhelp02/archive/99576.html
>
> Search results with: repeated "ordered logit"
>
> http://finzi.psych.upenn.edu/R/library/ordinal/doc/primer.pdf
>
> That last one has citations to Agresti articles, which means it may  
> have useful termininogy to be used in searching the very informative  
> Thompson/Agresti compendium of R methods:
>
> https://home.comcast.net/~lthompson221/Splusdiscrete2.pdf
>
> The mixed-models SIG would seem to be a natural place to look and  
> for that I use the advanced search panel fpr google to construct  
> this search of its archives:
>
> http://www.google.com/search?hl=en&lr=&q=repeated+logit+site%3Ahttps%3A%2F%2Fstat.ethz.ch%2Fpipermail%2Fr-sig-mixed-models
>
> (I did trim some of the trailing bits that seemsed superfluous.)
>
> -- 
> David.
>
>> My data are in the following format
>>
>> Patient ID, Time of Measurement, Grade
>>
>> I would like to model the probability of being in each of the  
>> Grades (I-V)
>> as a function of time. I guess i require a repeated measure  
>> cumulative logit
>> mixed model with random slope and intercept (for each patient).
>>
>> Could anyone pin point me at any information that would help me  
>> accomplish
>> this in R? Packages? Books?
>>
>> Information about categorical data analysis with R seems to be poor  
>> in the
>> Internet.
>>
>> Thank you very much on advance
>> JT
>>
>> --
>> View this message in context: http://r.789695.n4.nabble.com/Repeated-measures-cummulative-logit-mixed-model-tp3746845p3746845.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> David Winsemius, MD
> West Hartford, CT
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

David Winsemius, MD
West Hartford, CT



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