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. 2010 Aug 23;12(4):R160. doi: 10.1186/ar3119

Table 2.

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

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

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.