Clinical risk prediction models and informative cluster size: assessing the performance of a suicide risk prediction algorithm - Coley RY, Walker RL, Cruz M, Simon GE, Shortreed SM.

Clinical visit data are clustered within people, which complicates prediction modeling. Cluster size is often informative because people receiving more care are less healthy and at higher risk of poor outcomes. We used data from seven health systems on 1,5...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news