How Can R-squared Be Misleading in Toxicological Models?
R-squared can be misleading if used in isolation. A model with a high R-squared value might still be incorrect if it includes irrelevant variables or if it is based on an inappropriate data transformation. In toxicology, where the stakes are high, researchers must consider other metrics such as adjusted R-squared, which accounts for the number of predictors in the model, or use cross-validation techniques to ensure that the model is robust and predictive across different datasets.
