Table 3. Estimates of contrasts of models of longevity with variance including gender and the interaction between gender and independent variables; CR, life extending mutations, or both.
| Estimate | SE | t-value | df | 𝛘2 (LRT) | p-value | |||
| Diet | Intercept (F) | 0.375 | 0.442 | 0.850 | ||||
| Gender (M) | -0.756 | 0.625 | -1.210 | 1 | 2.02 | 0.156 | ||
| Median age | -0.032 | 0.433 | -0.074 | 1 | 0.01 | 0.928 | ||
| Interaction Gender x Median | -0.058 | 0.659 | -0.088 | 0.01 | 0.914 | |||
| Genotype | Intercept (F) | 0.298 | 0.494 | 0.603 | ||||
| Gender (M) | -0.576 | 0.616 | -0.936 | 1 | 1.16 | 0.282 | ||
| Median age | -0.192 | 0.457 | -0.420 | 1 | 0.25 | 0.616 | ||
| Interaction Gender x Median | 0.124 | 0.644 | 0.192 | 1 | 0.07 | 0.798 | ||
| Diet+Gen. | Intercept (F) | 0.379 | 0.450 | 0.843 | ||||
| Gender (M) | -0.810 | 0.454 | -1.787 | 1 | 3.83 | 0.050 | ||
| Median age | 0.567 | 0.347 | 1.636 | 1 | 3.25 | 0.071 | ||
| Interaction Gender x Median | -0.573 | 0.477 | -1.202 | 1 | 1.97 | 0.161 |
Estimate, standard error and t-value are from linear mixed models with strain as random effect variable. 𝛘2 and p-value are from a Likelihood Ratio Test (LRT) where the model with the independent variable is compared to the model without that variable.