Risk score models are simple scoring systems that map patient characteristics to the probability of an outcome occurring. These models are popular with clinicians because …
Clinical risk models are indispensable in healthcare for quantitatively evaluating health outcomes, aiding in identifying high-risk patients, customizing treatments, and optimizing resource allocation. This thesis …
Background: Best subset selection for sparse linear regression is a classical statistical problem that has received renewed attention following a new approach to directly solve …