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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-05-21
摘要
The proportional recovery rule (PRR) posits that most stroke survivors can expect to reduce a fixed proportion of their motor impairment. As a 統計 model, the PRR explicitly relates change scores to baseline values – an approach that has the potential to introduce artifacts and flawed conclusions. We describe approaches that can assess associations between baseline and changes from baseline while avoiding artifacts due either to 數學 coupling or regression to the mean due to measurement error. We also describe methods that can compare different 生物 models of recovery. Across several real datasets, we find evidence for non-artifactual associations between baseline and change, and support for the PRR compared to alternative models. We conclude that the PRR remains a 生物ly-relevant model of recover
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