Response‐Adaptive Randomization Procedure in Clinical Trials with Surrogate Endpoints

作者
Jingya Gao,Feifang Hu,Wei Ma
出处
期刊:Statistics in Medicine [Wiley]
卷期号:43 (30): 5911-5921 被引量:2
标识
DOI:10.1002/sim.10286
摘要

In clinical trials, subjects are usually recruited sequentially. According to the outcomes amassed thus far in a trial, the response-adaptive randomization (RAR) design has been shown to be an advantageous treatment assignment procedure that skews the treatment allocation proportion to pre-specified objectives, such as sending more patients to a more promising treatment. Unfortunately, there are circumstances under which very few data of the primary endpoints are collected in the recruitment period, such as circumstances relating to public health emergencies and chronic diseases, and RAR is thus difficult to apply in allocating treatments using available outcomes. To overcome this problem, if an informative surrogate endpoint can be acquired much earlier than the primary endpoint, the surrogate endpoint can be used as a substitute for the primary endpoint in the RAR procedure. In this paper, we propose an RAR procedure that relies only on surrogate endpoints. The validity of the statistical inference on the primary endpoint and the patient benefit of this approach are justified by both theory and simulation. Furthermore, different types of surrogate endpoint and primary endpoint are considered. The results reassure that RAR with surrogate endpoints can be a viable option in some cases for clinical trials when primary endpoints are unavailable for adaptation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
刚刚
1秒前
木子芳发布了新的文献求助10
1秒前
三颗李子完成签到 ,获得积分10
1秒前
科研通AI6.4应助Narcissus采纳,获得20
2秒前
境随心转完成签到,获得积分10
2秒前
HENHer发布了新的文献求助10
2秒前
悦耳迎蕾完成签到,获得积分10
2秒前
邓111111发布了新的文献求助10
2秒前
3秒前
科研通AI2S应助七月夏栀采纳,获得10
3秒前
雪白以丹完成签到,获得积分10
3秒前
fffff完成签到,获得积分10
4秒前
4秒前
我是我完成签到,获得积分10
5秒前
丘比特应助文艺的小白菜采纳,获得10
5秒前
爆米花应助sunjinkang采纳,获得10
5秒前
天宇建清完成签到,获得积分10
5秒前
cdercder应助UPUP0707采纳,获得10
5秒前
5秒前
整齐的含巧完成签到,获得积分10
6秒前
cheesejiang完成签到,获得积分10
7秒前
xihuang发布了新的文献求助10
8秒前
8秒前
完美的菠萝完成签到,获得积分10
8秒前
兴奋的高跟鞋完成签到,获得积分10
9秒前
10秒前
卡佳完成签到,获得积分10
10秒前
10秒前
诃德应助sharon采纳,获得10
11秒前
11秒前
土豪的丹烟完成签到,获得积分10
11秒前
12秒前
pass完成签到,获得积分10
12秒前
DMY发布了新的文献求助10
12秒前
科研通AI6.4应助猫猫采纳,获得10
13秒前
Yulb发布了新的文献求助10
13秒前
雪白以丹关注了科研通微信公众号
14秒前
15秒前
君子儒完成签到,获得积分10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
化工安全与环保 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7649692
求助须知:如何正确求助?哪些是违规求助? 9221998
关于积分的说明 19798461
捐赠科研通 7215569
什么是DOI,文献DOI怎么找? 3278244
关于科研通互助平台的介绍 2439022
邀请新用户注册赠送积分活动 2276840