临床试验
医学
医学物理学
临床神经学
内科学
心理学
神经科学
作者
Daniele Bertolini,Katelyn L. Arnemann,Diana Hall,Jonathan R. Walsh
出处
期刊:Neurology
[Ovid Technologies (Wolters Kluwer)]
日期:2022-05-03
卷期号:98 (18_supplement)
标识
DOI:10.1212/wnl.98.18_supplement.3476
摘要
Use machine learning to predict progression of Amyotrophic Lateral Sclerosis (ALS) and show how integrating predictions into clinical trial designs can reduce the sample size required to achieve desired power.
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