Right censoring and mortality in the Multicenter AIDS Cohort Study and Women's Interagency HIV Study.

IF 4.7 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Jessie K Edwards, Tiffany L Breger, Stephen R Cole, Paul N Zivich, Bonnie E Shook-Sa, Leah M Sadinski, Daniel Westreich, Andrew Edmonds, Catalina Ramirez, Igho Ofotokun, Seble G Kassaye, Todd T Brown, Deborah Konkle-Parker, Valentina Stosor, Robert Bolan, Sarah Krier, Deborah L Jones, Gypsyamber D'Souza, Mardge Cohen, Phyllis C Tien, Tonya Taylor, Kathryn Anastos, M Bradley Drummond, Michelle Floris-Moore
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引用次数: 0

Abstract

Background: Epidemiologists frequently employ right censoring to handle missing outcome, covariate, or exposure data incurred when participants have large gaps between study visits or stop attending study visits entirely. But, if participants who are censored are more or less likely to experience outcomes of interest than those not censored, such censoring could introduce bias in estimated measures.

Methods: We examined how censoring after two consecutive missed visits may affect mortality results from the Multicenter AIDS Cohort Study (MACS) and Women's Interagency HIV Study (WIHS). MACS and WIHS provide linkages to vital statistics registries, such that mortality data were available for all participants, regardless of whether they attended study visits.

Results: In a gold standard analysis that did not censor after two consecutive missed visits, 10-year mortality was 23% (95% CI: 22, 24) in MACS and 21% (95% CI: 20, 23) in WIHS. Estimated mortality was modestly reduced by 0-5% across subgroups when censoring at missed visits. Applying inverse probability of censoring weights partially removed this attenuation.

Conclusions: While mortality was slightly elevated after two consecutive missed visits in MACS and WIHS, censoring at two consecutive missed visits did not substantially alter estimated mortality, particularly after applying inverse probability of censoring weights.

多中心艾滋病队列研究和妇女跨机构艾滋病毒研究中的权利审查和死亡率。
背景:流行病学家经常使用权利审查来处理当参与者在研究访问之间有很大的间隔或完全停止参加研究访问时所产生的缺失结果、协变量或暴露数据。但是,如果被审查的参与者比没有被审查的参与者更有可能体验到感兴趣的结果,这种审查可能会在估计措施中引入偏差。方法:我们从多中心艾滋病队列研究(MACS)和妇女跨机构艾滋病毒研究(WIHS)中研究了连续两次未就诊后的审查如何影响死亡率结果。MACS和WIHS提供了与生命统计登记的联系,这样所有参与者的死亡率数据都可以获得,无论他们是否参加了研究访问。结果:在一项金标准分析中,在连续两次错过就诊后没有进行审查,MACS的10年死亡率为23% (95% CI: 22,24), WIHS的10年死亡率为21% (95% CI: 20,23)。在检查未就诊人数时,各亚组的估计死亡率略微降低了0-5%。应用反概率滤波权值部分消除了这种衰减。结论:MACS和WIHS的死亡率在连续两次未就诊后略有升高,但在连续两次未就诊时进行审查并没有实质性地改变估计的死亡率,特别是在应用反概率审查权之后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Epidemiology
Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.70
自引率
3.70%
发文量
177
审稿时长
6-12 weeks
期刊介绍: Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.
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