Active ingredient | Model | Indexes for: | |||
Precision | Trueness | Dosing range | Accuracy | ||
Artemether | Linear regression through 0 fitted using the highest level only | 0.830 | 0.746 | 0.414 | 0.635 |
Linear regression through 0 fitted using the level 1.0 only | 0.662 | 0.866 | 0.569 | 0.688 | |
Weighted (1/X) linear regression | 0.461 | 0.970 | 1.000 | 0.765 | |
Linear regression | 0.485 | 0.962 | 0.982 | 0.771 | |
Lumefantrine | Linear regression through 0 fitted using the highest level only | 0.763 | 0.864 | 0.498 | 0.690 |
Linear regression through 0 fitted using the level 1.0 only | 0.657 | 0.845 | 1.000 | 0.828 | |
Weighted (1/X) linear regression | 0.674 | 0.868 | 0.645 | 0.723 | |
Linear regression | 0.648 | 0.864 | 1.000 | 0.824 | |
Artesunate | Linear regression through 0 fitted using the highest level only | 0.725 | 0.957 | 0.944 | 0.869 |
Linear regression through 0 fitted using the level 1.0 only | 0.713 | 0.952 | 0.999 | 0.878 | |
Weighted (1/X) linear regression | 0.689 | 0.974 | 0.997 | 0.874 | |
Linear regression | 0.713 | 0.952 | 1.000 | 0.877 | |
Amodiaquine | Linear regression through 0 fitted using the highest level only | 0.884 | 0.001 | 0.521 | 0.001 |
Linear regression through 0 fitted using the level 1.0 only | 0.931 | 0.001 | 0.157 | 0.001 | |
Weighted (1/X) linear regression | 0.662 | 0.996 | 1.000 | 0.870 | |
Linear regression | 0.660 | 0.996 | 1.000 | 0.870 |