CENSORING DISTRIBUTIONS AS A MEASURE OF FOLLOW-UP IN SURVIVAL ANALYSIS
CENSORING DISTRIBUTIONS AS A MEASURE OF FOLLOW-UP IN SURVIVAL ANALYSIS
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DOI：
10.1002/sim.4780050306
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发表时间：
1986-05-01
影响因子：
2
通讯作者：
KORN, EL
中科院分区：
文献类型：
--
作者：
KORN, EL
在生存分析中，随访时间的平均值或中位数作为随访质量或完整性的衡量标准有时会产生误导——由于死亡较早，较严重的疾病随访时间较短。我们认为，对审查分布的估计提供了一个更有用的后续措施。本文给出了分组时间（队列）数据和连续数据的估计方法，并给出了一个应用。
The mean or median of the follow‐up times as a measure of the quality or completeness of the follow‐up in a survival analysis can sometimes be misleading—a more severe disease will have shorter follow‐up times because of earlier deaths. We suggest here that estimates of the censoring distribution provide a more useful measure of the follow‐up. This paper gives estimation procedures for both grouped‐time (cohort) data and continuous data, and provides an application.