Estimands: improving inference in randomized controlled trials in clinical nutrition in the presence of missing values

被引：4
|
作者：
Ritz, Christian [1 ]
Ronn, Birgitte [2 ]
机构：
[1] Univ Copenhagen, Dept Nutr Exercise & Sports, Fac Sci, Copenhagen, Denmark
[2] Leo Pharma As, Biometr, Copenhagen, Denmark
来源：
EUROPEAN JOURNAL OF CLINICAL NUTRITION | 2018年 / 72卷 / 09期
关键词：
INTENTION-TO-TREAT;
D O I：
10.1038/s41430-018-0207-x
中图分类号：
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号：
100403 ;
摘要：
For randomized controlled trials, the impact of the amount and handling of missing data on the interpretation of the treatment effect has been unclear. The current use of intention to treat, per protocol, and complete-case analysis has shortcomings. The use of estimands may lead to improved estimation of treatment effects through more precise characterizations of the fate of treatments after dropout or other post-randomization events. A perspective on current and future developments with a view toward clinical nutrition is provided.
引用
收藏
页码：1291 / 1295
页数：5
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