Recent progresses in outcome-dependent sampling with failure time data

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• 作者：Jieli Ding ; Tsui-Shan Lu ; Jianwen Cai ; Haibo Zhou
• 关键词：Case–cohort design ; ODS design ; Failure time data
• 刊名：Lifetime Data Analysis
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：23
• 期：1
• 页码：57-82
• 全文大小：
• 刊物类别：Mathematics and Statistics
• 刊物主题：Statistics, general; Statistics for Life Sciences, Medicine, Health Sciences; Quality Control, Reliability, Safety and Risk; Statistics for Business/Economics/Mathematical Finance/Insurance; Operation
• 出版者：Springer US
• ISSN：1572-9249
• 卷排序：23

文摘

An outcome-dependent sampling (ODS) design is a retrospective sampling scheme where one observes the primary exposure variables with a probability that depends on the observed value of the outcome variable. When the outcome of interest is failure time, the observed data are often censored. By allowing the selection of the supplemental samples depends on whether the event of interest happens or not and oversampling subjects from the most informative regions, ODS design for the time-to-event data can reduce the cost of the study and improve the efficiency. We review recent progresses and advances in research on ODS designs with failure time data. This includes researches on ODS related designs like case–cohort design, generalized case–cohort design, stratified case–cohort design, general failure-time ODS design, length-biased sampling design and interval sampling design.