When to Censor?

被引:49
作者
Lesko, Catherine R. [1 ]
Edwards, Jessie K. [2 ]
Cole, Stephen R. [2 ]
Moore, Richard D. [1 ,3 ]
Lau, Bryan [1 ,3 ]
机构
[1] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Epidemiol, 615 N Wolfe St, Baltimore, MD 21205 USA
[2] Univ North Carolina Chapel Hill, Gillings Sch Global Publ Hlth, Dept Epidemiol, Chapel Hill, NC USA
[3] Johns Hopkins Univ, Sch Med, Dept Med, Baltimore, MD 21205 USA
基金
美国国家卫生研究院;
关键词
bias (epidemiology); censoring; epidemiologic methods; loss to follow-up; selection bias; survival analysis; MARGINAL STRUCTURAL MODELS; INVERSE PROBABILITY; MEASUREMENT-ERROR; ANTIRETROVIRAL THERAPY; REGRESSION-MODELS; CLINICAL-COHORT; TIME; SURVIVAL; OUTCOMES; BIAS;
D O I
10.1093/aje/kwx281
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Loss to follow-up is an endemic feature of time-to-event analyses that precludes observation of the event of interest. To our knowledge, in typical cohort studies with encounters occurring at regular or irregular intervals, there is no consensus on how to handle person-time between participants' last study encounter and the point at which they meet a definition of loss to follow-up. We demonstrate, using simulation and an example, that when the event of interest is captured outside of a study encounter (e.g., in a registry), person-time should be censored when the study-defined criterion for loss to follow-up is met (e.g., 1 year after last encounter), rather than at the last study encounter. Conversely, when the event of interest must be measured within the context of a study encounter (e.g., a biomarker value), person-time should be censored at the last study encounter. An inappropriate censoring scheme has the potential to result in substantial bias that may not be easily corrected.
引用
收藏
页码:623 / 632
页数:10
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