Table 3 Best performing single and double sampling strategies for estimation of AUC_0-12 of MPA

(A) Bayesian estimator

Sampling points

r²

p

MPE (%)

95% LLCI

95% ULCI

RMSPE (%)

C₄

0.713

 < 0.001

-6.53

-15.23

2.18

25.04

C₈

0.746

 < 0.001

-2.58

-9.99

4.84

20.75

C₀

0.754

 < 0.001

-11.86

-18.23

-5.48

21.30

C₆

0.769

 < 0.001

-0.72

-7.51

6.08

18.89

C₆, C₁₂

0.851

 < 0.001

-2.46

-8.72

3.80

17.56

C₆, C₈

0.854

 < 0.001

0.15

-5.38

5.69

15.36

C₁, C₃

0.860

 < 0.001

-10.49

-16.72

-4.25

20.25

C₁, C₄

0.883

 < 0.001

-12.83

-18.43

-7.22

20.17

(B) Linear regression

Model equation

r²

p

MPE (%)

95% LLCI

95% ULCI

RMSPE (%)

AUC_0-12 = 11.2C₀ + 31.6

0.654

 < 0.001

7.66

-1.98

17.29

27.83

AUC_0-12 = 11.4C₈ + 21.8

0.679

 < 0.001

7.10

-2.89

17.09

28.63

AUC_0-12 = 8.3C₆ + 26.8

0.695

 < 0.001

6.66

-2.86

16.18

27.26

AUC_0-12 = 10.6C₄ + 21.5

0.702

 < 0.001

6.06

-3.53

15.65

27.32

AUC_0-12 = 6.5C₀ + 6.9C₄ + 18.9

0.837

 < 0.001

4.03

-3.46

11.53

21.20

AUC_0-12 = 5.2C₆ + 6.8C₈ + 16.8

0.840

 < 0.001

4.12

-2.75

10.99

19.53

AUC_0-12 = 1.4C₁ + 9.2C₈ + 9.2

0.844

 < 0.001

4.85

-2.30

12.00

20.43

AUC_0-12 = 1.4C₁ + 8.7C₄ + 7.8

0.885

 < 0.001

2.50

-2.74

7.73

14.75