ABSTRACT
This chapter covers predictive modeling approaches in the context of health economics and outcomes research. A historical perspective is first presented, and is followed by heuristic explanations of models commonly used in machine learning and predictive modeling. An introduction to high-dimensional data analysis is provided, including reviews of related models and available software.
