文章基本信息

标题：Variance Inflation Due to Censoring in Survival Probability Estimates
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作者：Szilard Nemes ; Andreas Gustavsson ; Ziad Taib 等
期刊名称：Statistica
印刷版ISSN：1973-2201
出版年度：2021
卷号：80
期号：4
页码：395-412
DOI：10.6092/issn.1973-2201/10524
语种：English
出版社：Dep. of Statistical Sciences "Paolo Fortunati", Università di Bologna
摘要：One of the most obvious features of time-to-event data is the occurrence of censoring. Rarely, if ever, studies are conducted until all participants experience the event of interest. Some participants survive beyond the end of follow-up time, some drop out from the studies for various non-study related reasons. During research planning it is paramount to consider the effect of censoring the follow-up times on the estimates. Herein, we look into the possibility of assessing the loss of information, as measured by the variability of the survival probability estimates under right censoring. We provide the researchers with an easy to use formula to assess the magnitude of variance inflation due to censoring. Additionally, we conducted simulation studies assuming various survival distributions. We conclude that the provided variance inflation estimator can be an accurate practical tool for applied statisticians.