Table 4.
Comparison of predictive modeling methods on other statistical and practical issues
| Issues to consider | Methods for risk prediction of multicategory outcomes | ||
|---|---|---|---|
| Dichotomized logistic regression | Continuation-ratio logit regression | Logistic competing risks regression | |
| Interpretation of predictor effects | Odds ratio | Conditional odds ratio dependent on ordered outcome category | Odds ratio |
| Constrains sum of all predicted probabilities to 100% | No | Yes | No |
| Allows inclusion of random-effect terms | Yes | Yes | No |
| Allows inclusion of outcome category-specific predictor variables | Yes | Yes | Yes |
| Accommodates competing risks | No | Yes | Yes |
| Availability in statistical software | SAS, Stata, R | SAS, Stata, R | R |