Table 2.
p-Values of the factors inserted in the LMMs.
| Dependent variable | Intercept | Sex | Age | Temperature | PCO2 | Temperature *PCO2 | Sex *Temperature | Sex *PCO2 | Sex *Age |
|---|---|---|---|---|---|---|---|---|---|
| P50 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | 0.001 | 1.000 | 1.000 |
| Temperature coefficient | <0.001 | 0.576 | 1.000 | – | 0.034 | – | – | 1.000 | 0.543 |
| CO2-Bohr coefficient | <0.001 | 1.000 | 0.063 | <0.001 | – | – | 0.554 | – | 1.000 |
| Hill coefficient | <0.001 | 0.002 | 1.000 | <0.001 | <0.001 | 0.002 | 1.000 | 0.096 | 1.000 |
The p-values are corrected by means of the Holm–Bonferroni method. P50, oxygen partial pressure at which 50% of hemoglobin is saturated with oxygen; PCO2, carbon dioxide partial pressure.
*
An asterisk between two factors indicates the effect of interaction of the two factors. - A dash indicates that the factor was not inserted in the LMM.