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. Author manuscript; available in PMC: 2021 May 1.
Published in final edited form as: J Mech Behav Biomed Mater. 2020 Feb 18;105:103704. doi: 10.1016/j.jmbbm.2020.103704

Table 2:

Leave-one-out analysis of nine subsets of MCL specimens using regression fits from all MCL and LCL specimens (total dataset), fits specific to ligament type, and specimen-specific regression fits. Shown are the mean (b, bias), standard deviation (p, precision), and root-mean-square error (RMSE).

Predicted Specimen Stress Error Metric [MPa]
Total Dataset Ligament Type Specimen Specific
b p RMSE b p RMSE b p RMSE
MCL 1 0.55 0.47 0.72 0.46 0.37 0.60 0.44 0.35 0.56
MCL 2 0.42 0.43 0.60 0.85 0.85 1.20 0.23 0.14 0.27
MCL 3 0.30 0.21 0.36 0.26 0.20 0.33 0.25 0.16 0.29
MCL 4 1.11 1.02 1.51 1.56 1.49 2.16 0.45 0.23 0.51
MCL 5 0.94 0.92 1.32 1.18 0.97 1.53 1.01 0.96 1.40
MCL 6 1.03 0.64 1.21 0.55 0.41 0.68 0.33 0.24 0.41
MCL 7 1.11 0.67 1.30 1.81 1.04 2.09 0.27 0.23 0.25
MCL 8 3.94 2.77 4.81 3.62 2.57 4.44 0.49 0.52 0.71
MCL 9 0.87 0.72 1.13 0.65 0.58 0.87 0.62 0.50 0.79
Average 1.14 1.53 1.90 1.22 1.52 1.95 0.45 0.50 0.68