Recent progresses in outcome-dependent sampling with failure time data

Jieli Ding, Tsui Shan Lu, Jianwen Cai, Haibo Zhou*


研究成果: 雜誌貢獻期刊論文同行評審

10 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)57-82
期刊Lifetime Data Analysis
出版狀態已發佈 - 2017 一月 1

ASJC Scopus subject areas

  • 應用數學


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