Table 2.

An overview of regression models and key performance measures

Regression Model					Results
	Backgr. Corr.	Log10 transform	Weight	Baseline drift corr.	Bad fits	Mean R2	Intra-assay variation	Numerical Bias
1	No	No	No	No	No	0.9987	58 %	89 %
2	No	No	No	Yes	No	0.9988	83 %	102 %
3	No	No	←	Yes	No	0.9982	80 %	121 %
4	No	Yes	No	No	No	0.9987	59 %	85 %
5	No	Yes	No	Yes	No	0.9991	94 %	97 %
6	No	Yes	←	Yes	Yes	0.9986	104 %	130 %
7	No	Yes	→	Yes	No	0.9985	101 %	115 %
8	Yes	No	←	No	No	0.9978	94 %	166 %
9	Yes	Yes	→	No	Yes	0.9768	29963 %	340 %
10	Yes	No	No	No	No	0.9922	83 %	102 %
11	Yes	Yes	No	No	Yes	0.9607	36336 %	526 %
CT	Yes						24 %

An overview of the 11 regression models evaluated. In the left part of the table, the modifications of each model are stated. In the right part of the table, key features of the analysis are shown. Arrows in the weight column indicate early plateau phase (←) and late plateau phase (→).