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Table 4 Linear regression models

From: Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis

Model number ModelR2 Parameter Parameter estimate PartialR2 P-value
1 0.008 Clusterin(T) −1.12 0.008 0.25
2 0.061 Clusterin(T) −1.85 0.020 0.06
Age −0.01 0.029 0.02
Sex 0.24 0.023 0.05
3 0.008 Clusterin(F) −0.92 0.008 0.25
4 0.063 Clusterin(F) −1.64 0.022 0.05
Age −0.01 0.028 0.03
Sex 0.26 0.026 0.03
5 0.018 Lubricin(L) −15.03 0.018 0.08
6 0.075 Lubricin(L) −20.96 0.033 0.01
Age −0.01 0.030 0.02
Sex 0.24 0.024 0.04
7 0.009 Lubricin(T) −7.15 0.009 0.22
8 0.059 Lubricin(T) −10.43 0.018 0.07
Age −0.01 0.030 0.02
Sex 0.21 0.019 0.07
9 0.011 Lumican(F) −4.24 0.011 0.17
10 0.047 Lumican(F) −3.15 0.006 0.31
Age −0.01 0.018 0.07
Sex 0.19 0.015 0.10
11 0.009 Lumican(I) −4.14 0.009 0.21
12 0.048 Lumican(I) −3.61 0.007 0.28
Age −0.01 0.018 0.08
Sex 0.20 0.017 0.08
13 0.079 Biomarker score1 −0.13* 0.038 0.01
Age −0.01 0.031 0.02
Sex 0.28 0.030 0.02
  1. 1Used standardized beta estimates for Clusterin(F) and Lubricin(L) from models 4 and 6, respectively, to create a weighted sum of the two biomarkers. *One standard deviation of change in biomarker score.