st: Two questions about ordinal regression using ologit and ocratio

[Jon Heron <jon.heron@bristol.ac.uk>]

 Hello there,


 I have two *quick* questions.

 1) Am I right in thinking that ologit is the 'cumulative odds model'
    for ordinal response variables (as described in Armstrong and Sloan,
1989)?

 2) Is there available a generalisation of the ocratio function
    that doesn't assume a constant slope?
    I have a 3-level outcome and want to compare A versus B and C
    along with B versus C.  However, I want to end up with two sets
    of coefficients rather than the one set that ocratio will give me.
    I have experimented with mlogit but am so far unable to have
    two different reference groups using this method.


 any help would be gratefully received



 thanks


 Jon





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