Comparison of generalized linear models and data transformations for DDH prediction. All model fits were based on distances calculated with the selected well-performing GBDP method (see main text). The models were either inferred from (i) the complete data set DS1 (red and blue curves, red circles and blue triangles) or (ii) the reduced data set  DS2 (blue curve and blue triangles). The green vertical line indicates the 50% probability threshold as calculated by the GLM for binary response data (see Figure 5). Left: GLMs (generalized linear models with quasi-binomial error family) based on DDH proportion data as response and untransformed distance values as predictor variable. Right: GLMs (generalized linear models with quasi-binomial error family) based on DDH as response and logarithmized distance values as predictor variable.