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Updated: Jul 13, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Projecting the standard error of the Kaplan-Meier estimator
1H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612, USA. abcantor@moffit.usf.edu
Abstract:
Clinical studies in which a major objective is to produce Kaplan-Meier estimates of survival probabilities should be designed to produce those estimates with a desired prespecified precision as measured by their standard errors. By considering the Peto and Greenwood formulae for the estimated standard error of the Kaplan-Meier estimate and replacing their constituents with expected values based on the study's design parameters, formulae for projected standard errors can be produced. These formulae are shown, through simulations, to be quite accurate.
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