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Censoring distributions as a measure of follow‐up in survival analysis
Author(s) -
Korn Edward L.
Publication year - 1986
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780050306
Subject(s) - censoring (clinical trials) , statistics , measure (data warehouse) , survival analysis , cohort , econometrics , completeness (order theory) , computer science , medicine , mathematics , data mining , mathematical analysis
Abstract 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.