Journal article

Distance-based Classification and Regression Trees for the analysis of complex predictors in health and medical research

Hannah Johns, Julie Bernhardt, Leonid Churilov

STATISTICAL METHODS IN MEDICAL RESEARCH | SAGE PUBLICATIONS LTD | Published : 2021

Abstract

Predicting patient outcomes based on patient characteristics and care processes is a common task in medical research. Such predictive features are often multifaceted and complex, and are usually simplified into one or more scalar variables to facilitate statistical analysis. This process, while necessary, results in a loss of important clinical detail. While this loss may be prevented by using distance-based predictive methods which better represent complex healthcare features, the statistical literature on such methods is limited, and the range of tools facilitating distance-based analysis is substantially smaller than those of other methods. Consequently, medical researchers must choose to..

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