| Logistic regression | Neural networks | Set association | CPM | RPM | MDR | Random forests | |
---|---|---|---|---|---|---|---|---|
 |  | PDM | GPNN |  |  |  |  |  |
Outcome variable | dichotomous | categorical continuous | categorical continuous | dichotomous | continuous | continuous | dichotomous | categorical |
Dimensionality | no | no | yes | yes | yes | yes | yes | yes |
Number of predictors | few | moderate | many | many | moderate | many* | moderate†| many |
Power to detect important effects | low | no info | high | high | high | high | high | high |
Detection of interactions | no | yes | yes | no | yes | yes | yes | yes‡ |
Correlated predictors | no | no | yes | n.i.** | yes | yes | yes | no |
Genetic heterogeneity | no | yes | yes | no | no | no | no | yes |
Software available Open source | yes | yes no | no | yes yes | no | at request and under development | yes yes | yes yes |