Table 4.

Linear regression models

Model number	Model R 2	Parameter	Parameter estimate	Partial R 2	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

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.