Using effect cell coding what is the logit of the person having the large wrist watch?
Variable | Parameter estimate | p-value |
Intercept | -0.1310 | 0.4895 |
Medium watch | 0.2130 | 0.3087 |
Small watch | 0.6974 | 0.0047 |
(Large watch) = (Intercept)
Using the reference cell coding, What is the logit for the person with a large wrist watch(Logistic regression model)
Variable | Parameter estimate | p-value |
Intercept | -1.0415 | 0.0283 |
Medium | 1.1234 | 0.0243 |
Small | 1.6078 | 0.0033 |
(Large watch) = (Intercept)
Have you studied Proc LOGISTIC: CLASS Variable Parameterization?
(Large watch) = (Intercept) - (Medium watch) - (Small watch)
How did you get the above equation, please prove it or elaborate?
Thank you!
Have you studied the link I suggested or other resources that you can find by searching (of which there are many)? When you understand the definition of effect coding (or any other coding system), it's just an algebraic problem. I would be happy to address any informed and detailed questions you might have.
That said, different coding systems are just different parameterizations of the same model: regardless of coding, the LSMEANS and differences among LSMEANS are the same. I applaud your interest in understanding coding, but I also encourage you to focus on what might be more important.
I merged the two threads since they obviously deal with the same question. Please keep questions in one thread, so everybody can see all answers already given.
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