[R] Longitudinal categorical response data

[Frank Harrell]

Random effects models of the type fitted by ordinal assume something akin to
compound symmetry, which is not realistic when time between measurements is
long or irregular.
Frank

Rune Haubo-2 wrote
> lmer is not designed for ordered categorical data as yours are. You could
> take a look at the ordinal package which is designed for this type of data
> including mixed models (function clmm) which you probably want to use.
> 
> Best,
> Rune
> 
> Den 24/03/2011 21.03 skrev "Rasanga Ruwanthi" <

> ruwanthi_kdr@

> >:
>>
>> Dear List,
>>
>> I have some longitudinal data, each patient was followed at times 0, 12,
> 16, 24 weeks and measure severity of a illness (0-worse, 1-same,
> 2-better).
> So, longitudinal response is categorical.  I was wondering whether lmer in
> R
> can fit a model for this type of data. If so, how we code? Or any
> other function in R that can fit this type of longitudinal data? Any
> suggestion would be greatly appreciated.
> 
>>
>> Thanks
>> Ruwanthi
>>
>>
>>
>>
>>        [[alternative HTML version deleted]]
>>
>>
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>> 

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> 
> ______________________________________________

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-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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