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proc genmod data = eyestudy; class carrot id; model lenses = carrot/ dist = poisson link = log; repeated subject = id/ type = unstr; estimate 'Beta' carrot 1 -1/ exp; run;
above was copied from below:
Above statement allows exp(beta) and exp(confidence intervals).
But I don't understand, the part of estimate statement, 1 -1. Is it because carrot is binary variable? If the variable has more than 2 categories or continuous, how estimate statement will be different. I would very much appreciate your help!
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proc genmod data = eyestudy; class carrot id; model lenses = carrot/ dist = poisson link = log; repeated subject = id/ type = unstr; estimate 'Beta' carrot 1 -1/ exp; run;
above was copied from below:
Above statement allows exp(beta) and exp(confidence intervals).
But I don't understand, the part of estimate statement, 1 -1. Is it because carrot is binary variable? If the variable has more than 2 categories or continuous, how estimate statement will be different. I would very much appreciate your help!
Sun
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Yes, it is because it has two levels. The number of coefficients will correspond with the number of levels and the ordering of the levels.
There are a number of good examples and explanations of estimate/contrast statements found here: