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Table 2 Best-fit models for clinical score, and cartilage and bone destruction predicted by different scoring methods

From: A multiparameter approach to monitor disease activity in collagen-induced arthritis

Dependent variable Best-fit model Adjusted R2 Significance
Clinical score Composite score of knee histology 0.464 < 0.001
Cartilage destruction Larsen score 0.525 < 0.001
  Larsen score + micro-CT calcaneus score 0.667 < 0.001
  Larsen score + micro-CT calcaneus score + clinical score 0.704 < 0.001
Bone destruction Micro-CT calcaneus score 0.605 < 0.001
  Micro-CT calcaneus score + Larsen score 0.713 < 0.001
  1. Best-fit models for clinical score, and cartilage and bone destruction in the hind paw as proposed by linear regression analysis with scoring methods and treatment group as independent variables. R2 indicates the squared correlation between the observed values of the dependent variable and the predicted values based on the regression model. Adjusted R2 is a modification of R2 that adjusts for the number of covariates in the regression model.