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Non-Parametric Heteroscedastic Transformation Regression Models for Skewed Data With an Application to Health Care Costs
Summary We develop a new non-parametric heteroscedastic transformation regression model for predicting the expected value of the outcome of a patient with given patient's covariates when the distribution of the outcome is highly skewed with a heteroscedastic variance. In our model, we allow both the transformation function and the error …