缺少数据
医学
结果(博弈论)
研究设计
随机对照试验
梅德林
统计
外科
数学
数理经济学
政治学
法学
作者
Ellie Medcalf,Robin Turner,David Espinoza,Vicky He,Katy Bell
标识
DOI:10.1016/j.cct.2024.107602
摘要
Missing outcome data is common in trials, and robust methods to address this are needed. Most trial reports currently use methods applicable under a missing completely at random assumption (MCAR), although this strong assumption can often be inappropriate.
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