Before revision: While risk adjustment is pervasive in the health care system, relatively little attention has been devoted to studying the fairness of these formulas for individuals who may be harmed by them. In practice, risk adjustment algorithms are often built with respect to statistical fit, as measured by p-values or R2 statistics.
After revision: Stepwise regression building procedures are commonly used applied statistical tools, despite their well-known drawbacks. While many of their limitations have been widely discussed in the literature, other aspects of the use of individual statistical fit measures, especially in high-dimensional stepwise regression settings, have not. Giving primacy to individual fit, as measured by p-values or R2 statistics.