Before revision:  In practice, risk adjustment algorithms are often built with respect to statistical fit, as measured by p-values or R2 statistics.
After revision:  In practice, risk adjustment algorithms are often built with respect to statistical fit, as measured by p-values and R^2, when group fit may be the larger concern, can lead to misguided decision making. One of the most consequential uses of stepwise regression is in health care, where these tools allocate hundreds of billions of dollars to health plans enrolling individuals with different predicted health care costs.