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Dear Brain trust,
I want to determine the effect of a treatment on a score of pain in animals. Many published literature has used GLM models using score as a continuous dependent variable accounting then for treatment, block and animal repetition using linear mixed model.
however, this approach is per se assuming that the score is a continuous variable (which is not) and also that a score of 8 is 2 times worst than a score of 4 which is not demonstrated (so the interval between 2 unit scale can not be assumed to be the same throughout the scale (0-15 max points).
initially we used non parametric tests such as rank comparison but I want to know if a more elegant and powerful analysis can be performed.
thanks
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You can try an ordinal regression.
The documentation has a fully worked example:
Under the title there's a link to the full code that you can run on your machine and then follow through. Once you understand the example, you can replicate it on your own data.
@SBuc wrote:
Dear Brain trust,
I want to determine the effect of a treatment on a score of pain in animals. Many published literature has used GLM models using score as a continuous dependent variable accounting then for treatment, block and animal repetition using linear mixed model.
however, this approach is per se assuming that the score is a continuous variable (which is not) and also that a score of 8 is 2 times worst than a score of 4 which is not demonstrated (so the interval between 2 unit scale can not be assumed to be the same throughout the scale (0-15 max points).
initially we used non parametric tests such as rank comparison but I want to know if a more elegant and powerful analysis can be performed.
thanks