Covariate adjustment in randomized clinical trials with missing covariate and outcome data

协变量 缺少数据 逆概率加权 统计 插补(统计学) 计量经济学 加权 结果(博弈论) 计算机科学 数学 医学 倾向得分匹配 放射科 数理经济学
作者
Chia‐Rui Chang,Song Yue,Fan Li,Rui Wang
出处
期刊:Statistics in Medicine [Wiley]
卷期号:42 (22): 3919-3935 被引量:3
标识
DOI:10.1002/sim.9840
摘要

When analyzing data from randomized clinical trials, covariate adjustment can be used to account for chance imbalance in baseline covariates and to increase precision of the treatment effect estimate. A practical barrier to covariate adjustment is the presence of missing data. In this article, in the light of recent theoretical advancement, we first review several covariate adjustment methods with incomplete covariate data. We investigate the implications of the missing data mechanism on estimating the average treatment effect in randomized clinical trials with continuous or binary outcomes. In parallel, we consider settings where the outcome data are fully observed or are missing at random; in the latter setting, we propose a full weighting approach that combines inverse probability weighting for adjusting missing outcomes and overlap weighting for covariate adjustment. We highlight the importance of including the interaction terms between the missingness indicators and covariates as predictors in the models. We conduct comprehensive simulation studies to examine the finite-sample performance of the proposed methods and compare with a range of common alternatives. We find that conducting the proposed adjustment methods generally improves the precision of treatment effect estimates regardless of the imputation methods when the adjusted covariate is associated with the outcome. We apply the methods to the Childhood Adenotonsillectomy Trial to assess the effect of adenotonsillectomy on neurocognitive functioning scores.
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
1秒前
曾经阁发布了新的文献求助10
1秒前
TL完成签到,获得积分10
1秒前
lin完成签到 ,获得积分10
2秒前
2秒前
2秒前
ll应助小榕采纳,获得10
2秒前
2秒前
3秒前
大个应助畅快的涵蕾采纳,获得10
3秒前
曾经二娘发布了新的文献求助10
3秒前
隐形的乐瑶完成签到,获得积分10
4秒前
迟迟发布了新的文献求助20
4秒前
4秒前
www发布了新的文献求助10
5秒前
st发布了新的文献求助10
5秒前
6秒前
nbing发布了新的文献求助30
6秒前
6秒前
ccchengzi完成签到,获得积分10
6秒前
6秒前
6秒前
7秒前
Jeason完成签到,获得积分10
8秒前
8秒前
充电宝应助千陽采纳,获得10
9秒前
量子星尘发布了新的文献求助10
10秒前
爆米花应助哈哈哈哈哈采纳,获得10
11秒前
11秒前
Owen应助Tsq采纳,获得10
11秒前
11秒前
香蕉觅云应助www采纳,获得10
11秒前
cpuwy发布了新的文献求助20
11秒前
典雅又夏发布了新的文献求助10
11秒前
12秒前
zzk发布了新的文献求助10
12秒前
甜甜冬寒发布了新的文献求助10
12秒前
嗖嗖完成签到,获得积分10
12秒前
逢考必过完成签到,获得积分10
13秒前
文艺的青旋完成签到 ,获得积分10
14秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
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 3970287
求助须知:如何正确求助?哪些是违规求助? 3515034
关于积分的说明 11176923
捐赠科研通 3250301
什么是DOI,文献DOI怎么找? 1795244
邀请新用户注册赠送积分活动 875732
科研通“疑难数据库(出版商)”最低求助积分说明 805039