Censoring distributions as a measure of follow‐up in survival analysis
Author:
- 1 May 1986
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 5 (3) , 255-260
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.Keywords
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