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st: Two questions about ordinal regression using ologit and ocratio
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,
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
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