Skip to main content

Table 2 The regression equations and the differences in MDLs

From: The study of statistical methods for evaluating the comparability of routine chemistry analytes among 3 routine laboratory measurement systems in China

No. of lab Regression equation Slope Intercept Correlation Differences in MDLs (%) Conclusion
Coefficient MDL1 MDL2 MDL3
1 y = 1.014*x − 0.002 1.014 −0.002 0.9999 1.32 1.37 1.38 All less than desirable
2 y = 1.008*x − 0.044 1.008 −0.044 0.9997 −0.96 0.14 0.36 All less than optimal
3 y = 1.007*x + 0.053 1.007 0.053 0.9997 2.82 1.49 1.23 Two less than desirable
4 y = 0.989*x − 0.072 0.989 −0.072 0.9999 −3.98 −2.18 −1.82 Two less than desirable
5 y = 1.020*x + 0.158 1.020 0.158 0.9998 8.32 4.37 3.58 All bigger than min
6 y = 1.018*x − 0.009 1.018 −0.009 0.9994 1.44 1.67 1.71 All less than desirable
7 y = 0.968*x − 0.029 0.968 −0.029 0.9999 −4.36 −3.63 −3.49 One less than min
8 y = 0.938*x − 0.120 0.938 −0.120 0.9997 −11.00 −8.00 −7.40 All bigger than min
9 y = 1.011*x + 0.100 1.011 0.100 0.9994 5.10 2.60 2.10 Two less than min
10 y = 0.963*x − 0.042 0.963 −0.042 0.9999 −5.38 −4.33 −4.12 All bigger than min
11 y = 0.928*x + 0.630 0.928 0.630 0.9975 18.00 2.25 −0.90 Two less than desirable
12 y = 0.988*x + 0.046 0.988 0.046 0.9999 0.64 −0.51 −0.74 All less than optimal
13 y = 1.011*x − 0.007 1.011 −0.007 0.9999 0.82 1.00 1.03 All less than optimal
14 y = 1.064*x − 0.042 1.064 −0.042 0.9800 4.72 5.77 5.98 All bigger than min
15 y = 0.982*x + 0.030 0.982 0.030 0.9996 −0.60 −1.35 −1.50 All less than desirable
16 y = 1.055*x + 0.016 1.055 0.016 0.9998 6.14 5.74 5.66 All bigger than min
17 y = 0.993*x − 0.001 0.993 −0.001 0.9996 −0.74 −0.71 −0.71 All less than optimal
18 y = 0.964*x + 0.133 0.964 0.133 0.9999 1.72 −1.61 −2.27 All less than desirable
19 y = 1.029*x − 0.174 1.029 −0.174 0.9998 −4.06 0.29 1.16 Two less than optimal
20 y = 0.989*x + 0.025 0.989 0.025 0.9995 −0.10 −0.73 −0.85 All less than optimal