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Table 3 Schwarz Bayesian Criterion (SBC) for models of increasing complexity (lower SBC values indicate a better solution), using data from the development set. Adding smoothing parameters for skewness and kurtosis parameters does not improve model fit

From: Reference chart for knee flexion following total knee arthroplasty: a novel tool for monitoring postoperative recovery

GAMLSS Distribution

Parameters with smoothing splines

Median

Median, Variance

Median, Variance, Skewness

Median, Variance, Skewness, Kurtosis

NO

9343.77

9309.87

GA

9503.95

9379.81

TF

9333.56

9313.83

9312.84

BCCG

9334.84

9281.30

9292.47

BCT

9341.22

9288.37

9299.56

9306.63

BCPE

9341.87

9285.50

9295.17

9301.96

  1. Abbreviations: NO Normal, GA Gamma, TF t-Family, BCCG Box Cox Cole and Green, BCT Box Cox t-distribution, BCPE Box Cox Power Exponential