From: Multi-model inference using mixed effects from a linear regression based genetic algorithm
Variable selection | LASSO | GA-OLS | GA-MM | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Variable estimation | Coef (shrinkage) | OLS | MM | OLS | MM | MMI1 | MMI2 | OLS | MM | MMI1 | MMI2 | ||||
OLS | MM | OLS | MM | OLS | MM | OLS | MM | ||||||||
TOP15 variables | 0.815 | 0.816 | 0.827 | 0.830 | 0.833 | 0.832 | 0.838 | 0.827 | 0.831 | 0.834 | 0.835 | 0.834 | 0.839 | 0.829 | 0.832 |
TOP18 variables | 0.816 | 0.818 | 0.827 | 0.830 | 0.831 | 0.833 | 0.838 | 0.825 | 0.829 | 0.832 | 0.835 | 0.835 | 0.839 | 0.829 | 0.832 |
TOP21 variables | 0.819 | 0.825 | 0.835 | 0.821 | 0.825 | 0.836 | 0.839 | 0.819 | 0.824 | 0.824 | 0.826 | 0.834 | 0.838 | 0.819 | 0.824 |
TOP24 variables | 0.820 | 0.822 | 0.824 | 0.819 | 0.824 | 0.837 | 0.840 | 0.818 | 0.824 | 0.820 | 0.821 | 0.834 | 0.837 | 0.817 | 0.821 |
TOP27 variables | 0.827 | 0.817 | 0.818 | 0.827 | 0.829 | 0.839 | 0.841 | 0.822 | 0.827 | 0.814 | 0.820 | 0.835 | 0.838 | 0.814 | 0.819 |
TOP30 variables | 0.828 | 0.812 | 0.817 | 0.821 | 0.822 | 0.838 | 0.840 | 0.819 | 0.823 | nac | nac | nac | nac | nac | nac |
ALL m variables a | 0.826 | 0.795 | 0.811 | nab | nab | 0.840 | 0.841 | 0.701 | 0.725 | nab | nab | 0.838 | 0.839 | 0.713 | 0.725 |
(m = 51) | (m = 193) | (m = 200) |