Range odds ratio
This is the factor by which the odds ratio increases when the explanatory variable (X) value changes from its minimum value (Xmin) to its maximum value (Xmax). If the parameter estimate is beta, the odds ratio for a continuous scale is calculated as exp( (Xmax-Xmin)*beta)). For nominal scales, JMP first codes the levels as "-1" and "1" when deriving parameter estimates, so the odds ratio is calculated as exp(2*beta).
Unit odds ratio
This shows the change in odds ratio when the explanatory variable (X) changes by 1 unit. The odds ratio is calculated using exp(beta).
|
scale
|
Unit odds ratio
|
Range odds ratio
|
| continuous |
exp(beta) |
exp((Xmax-Xmin)*beta) |
| name |
exp(beta) |
exp(2*beta) |
| order |
exp(beta) |
exp(beta) |
In addition, FAQ #2078 contains related material (methods of calculating odds ratios and hazard ratios (risk ratios) using JMP and points to note).
FAQ # 2079
This post originally written in Japanese and has been translated for your convenience. When you reply, it will also be translated back to Japanese.