Samsa Gregory P
Department of Biostatistics and Bioinformatics Duke University Durham North Carolina.
Learn Health Syst. 2020 Feb 12;4(3):e10219. doi: 10.1002/lrh2.10219. eCollection 2020 Jul.
We consider four memes, correct within the context of randomized trials but requiring modification for the analysis of the observational databases typically associated with learning health systems: (a) the right answer always requires randomization; (b) a bigger database is always a better database; (c) statistical adjustment always works if based on a large enough database; and (d) always make a formal adjustment when testing multiple hypotheses. The rationale for these memes within the context of randomized trials is discussed, and the memes are restated in a fashion that is consistent with learning health systems.
(a) 正确答案总是需要随机化;(b) 更大的数据库总是更好的数据库;(c) 如果基于足够大的数据库,统计调整总是有效的;以及(d) 在检验多个假设时总是进行正式调整。文中讨论了这些观点在随机试验背景下的基本原理,并以与学习健康系统一致的方式重新阐述了这些观点。