Estimation of the failure time distribution in the presence of informative censoring

• 成果类型: Article
• 署名作者: Scharfstein, DO; Robins, JM
• 署名单位: Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Harvard University; Harvard T.H. Chan School of Public Health
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/89.3.617
• 发表日期: 2002
• 页码: 617634
• 关键词: dependent competing risks; marginal survival; assumed copula; bounds; models; TRIAL

摘要

We present a method for estimating the survival curve of a continuous failure time random variable from right-censored data. Our method allows adjustment for informative censoring due to measured prognostic factors for time-to-event and censoring while simultaneously quantifying the sensitivity of the inference to residual dependence between failure and censoring due to unmeasured factors. We present the results of a simulation study and illustrate our approach using data from the AIDS Clinical Trial Group 175 study.