亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Disentangling estimands and the intention‐to‐treat principle

随机对照试验 意向治疗分析 人口 医学 模棱两可 金标准(测试) 计算机科学 外科 内科学 环境卫生 程序设计语言
作者
Ann-Kristin Leuchs,Andreas Brandt,Jörg Zinserling,Norbert Benda
出处
期刊:Pharmaceutical Statistics [Wiley]
卷期号:16 (1): 12-19 被引量:22
标识
DOI:10.1002/pst.1791
摘要

Randomized controlled trials (RCTs) aim at providing reliable estimates of treatment benefit. Missing data and nonadherence to treatment are distinct problems that can substantially impede this task. In practice, the fact that the handling of missing data due to nonadherence affects the question that is addressed is often ignored. Estimands allow precisely predefining the question of interest. Estimands are definitions of that which is being estimated with regard to population, endpoint, and handling of postrandomization events (eg, nonadherence). Depending on the situation, different estimands are of relevance. Therefore, it is important that the intention‐to‐treat (ITT) principle, which is considered the gold standard for analyzing RCTs, does not restrict an RCT's primary objective to only one of several relevant estimands. Although much ambiguity is involved around what is considered to constitute the ITT principle, many associate ITT with completely following up all patients and including all data of all randomized patients as allocated into the analysis. This would restrict primary objectives to estimating the effect of treatment policy and is certainly not warranted in all situations. To maintain the advantage of having the clear recommendation to follow the ITT principle while allowing for various relevant estimands as primary objective, we argue that the appropriate way forward is to define ITT as including all randomized patients into the analysis set and each patient is to be allocated to his or her randomized treatment. This definition comprises the actual intent of ITT and can be fully implemented also in settings where complete follow‐up is impossible.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
玩命的糖豆完成签到 ,获得积分10
3秒前
科研小白完成签到,获得积分10
4秒前
12秒前
健康的大船完成签到 ,获得积分10
13秒前
橙子完成签到 ,获得积分10
18秒前
山城小丸完成签到,获得积分10
25秒前
吴嘉俊发布了新的文献求助10
26秒前
27秒前
小丸子完成签到 ,获得积分10
28秒前
彩色橘子完成签到 ,获得积分10
29秒前
32秒前
yyf251发布了新的文献求助10
37秒前
阿金啊完成签到,获得积分10
37秒前
阿金啊发布了新的文献求助30
40秒前
cyy完成签到 ,获得积分10
48秒前
51秒前
52秒前
luang完成签到,获得积分10
54秒前
个性慕青完成签到 ,获得积分10
58秒前
丘丘完成签到,获得积分10
58秒前
RRRZZ完成签到 ,获得积分10
1分钟前
习习完成签到,获得积分10
1分钟前
所所应助小真白采纳,获得10
1分钟前
科研通AI2S应助内向的小脑采纳,获得10
1分钟前
mingli的tau发布了新的文献求助10
1分钟前
科研通AI5应助LJ_scholar采纳,获得10
1分钟前
1分钟前
yf完成签到,获得积分10
1分钟前
yf发布了新的文献求助10
1分钟前
七草肃完成签到,获得积分10
1分钟前
Hexagram完成签到 ,获得积分10
1分钟前
Jasper应助ceeray23采纳,获得20
1分钟前
张牧之完成签到 ,获得积分10
1分钟前
哈哈哈大赞完成签到,获得积分10
1分钟前
打打应助yf采纳,获得10
1分钟前
1分钟前
YoungJC66发布了新的文献求助10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
李健应助科研通管家采纳,获得10
1分钟前
1分钟前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3990012
求助须知:如何正确求助?哪些是违规求助? 3532068
关于积分的说明 11256227
捐赠科研通 3270933
什么是DOI,文献DOI怎么找? 1805123
邀请新用户注册赠送积分活动 882270
科研通“疑难数据库(出版商)”最低求助积分说明 809216