Comparing “people-like-me” and linear mixed model predictions of functional recovery following knee arthroplasty

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.