Skip to main content

Table 2 Results multiple regression models. a Pseudo-R2, since multiple R2 is not defined for logistic regression

From: Identifying potential patient-specific predictors for anterior cruciate ligament reconstruction outcome – a diagnostic in vitro tissue remodeling platform

read-out multiple regression model coefficients multiple R2
age (years) gender (♂ = 1) tendon (semitend. = 1)
estimate std. error p-value estimate std. error p-value estimate std. error p-value
intact/released 0.19 0.09 *0.042 1.6 1.0 0.10 −2.7 1.5 0.07 a 0.30
surface area 48 h (%) 0.96 0.36 *0.012 15 9 0.13 −12 10 0.23 0.21
pro-collagen I (ng/ml) −15 5 *0.01 145 144 0.32 −94 141 0.51 0.33
tenomodulin / tubulin (−) 0.0006 0.0012 0.64 −0.017 0.033 0.61 0.013 0.034 0.71 0.030
αSMA / tubulin (−) 0.023 0.034 0.50 1.1 0.9 0.24 −1.1 0.9 0.24 0.086
active MMP2 (A.U.) −0.17 0.24 0.48 3.1 6.6 0.65 −0.4 6.7 0.95 0.039
MMP2 active fraction (−) −0.0005 0.0011 0.64 −0.0009 0.031 0.98 −0.05 0.03 0.12 0.10
  1. *p < 0.05