Prediction models can be useful tools for monitoring patient status and personalizing treatment in health care. The goal of this study was to compare the relative strengths and weaknesses of 2 different approaches for predicting functional recovery after knee arthroplasty: A neighbors-based “people-like-me” (PLM) approach and a linear mixed model (LMM) approach. |