不要对 MIDs 进行中心化处理：均数回归会缩小对最小有意义差异的估计。
Don't middle your MIDs: regression to the mean shrinks estimates of minimally important differences.
机构信息
Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK,
出版信息
Qual Life Res. 2014 Feb;23(1):1-4. doi: 10.1007/s11136-013-0443-4. Epub 2013 May 31.
Abstract
Minimal important differences (MIDs) for patient-reported outcomes (PROs) are often estimated by selecting a clinical variable to serve as an anchor. Then, differences in the clinical anchor regarded as clinically meaningful or important can be used to estimate the corresponding value of the PRO. Although these MID values are sometimes estimated by regression techniques, we show that this is a biased procedure and should not be used; alternative methods are proposed.
摘要
最小有意义差异（MIDs）通常通过选择临床变量作为锚点来估计患者报告结局（PROs）。然后，可以使用被认为具有临床意义或重要性的临床锚点的差异来估计 PRO 的相应值。尽管这些 MID 值有时可以通过回归技术来估计，但我们表明这是一种有偏差的程序，不应使用；提出了替代方法。
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