Related Experiment Video
Updated: Jun 22, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Strengthening the understanding of the relationship between survival designs and test statistics
1Amgen Inc., South San Francisco, CA 94080, USA.
Abstract:
In the planning of randomized survival trials, the role of follow-up time of trial participants introduces a level of complexity not encountered in non-survival trials. Of the two commonly used survival designs, one design fixes the follow-up time whereas the other allows it to vary. When the follow-up time is fixed the number of events varies. Conversely, when the number of events is fixed, the follow-up time varies. These two designs influence test statistics in ways that have not been fully explored resulting in a misunderstanding of the design-test statistic relationship. We use examples from the literature to strengthen the understanding of this relationship. Group sequential trials are briefly discussed. When the number of events is fixed, we demonstrate why a two-sample risk difference test statistic reduces to a one-sample test statistic which is nearly equal to the risk ratio test statistic. Some aspects of fixed event designs that need further consideration are also discussed.
Related Concept Videos
Assumptions of Survival Analysis
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Comparing the Survival Analysis of Two or More Groups
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
Survival Tree
Building a Survival Tree
Constructing a survival tree begins...
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...

