Table 1.
A. PLC method | |||||
---|---|---|---|---|---|
R = 0.96802847 | R2 = 0.93707912 | Adjusted R2 = 0.92849900 | |||
Parameter estimates | |||||
Coefficient | SE | t | P | ||
min | 8.3246 | 3.3956 | 2.4516 | 0.0226 | |
max | 100.0000 | 13.9177 | 7.1851 | <0.0001 | |
EC50 | 2.5167 | 0.3125 | 8.0525 | <0.0001 | |
Hillslope | -2.9890 | 1.0380 | -2.8795 | 0.0087 | |
Analysis of variance: | |||||
DF | SS | MS | F | P | |
Regression | 3 | 25308.9213 | 8436.3071 | 109.2152 | <0.0001 |
Residual | 22 | 1699.3865 | 77.2448 | ||
Total | 25 | 27008.3078 | 1080.3323 | ||
B. MRI - Pixel brightness | |||||
R = 0.90873197 | R2 = 0.82579380 | Adjusted R2 = 0.79505153 | |||
Parameter estimates | |||||
Coefficient | SE | t | P | ||
Minimum | 1262.0805 | 945.4022 | 1.3350 | 0.1995 | |
Maximum | 10171.8589 | 908.9276 | 11.1911 | <0.0001 | |
EC50 | 2.7009 | 0.2490 | 10.8459 | <0.0001 | |
Hillslope | 6.2416 | 2.8575 | 2.1843 | 0.0432 | |
Analysis of variance: | |||||
DF | SS | MS | F | P | |
Regression | 3 | 270109225.7591 | 90036408.5864 | 26.8618 | <0.0001 |
Residual | 17 | 56981175.6885 | 3351833.8640 | ||
Total | 20 | 327090401.4476 | 16354520.0724 |