Related Experiment Video
Updated: Jun 18, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Joint covariate-adjusted score test statistics for recurrent events and a terminal event
1Department of Statistics, Colorado State University, Fort Collins, CO 80526, USA. song@stat.colostate.edu
None:
Recurrent events data are frequently encountered and could be stopped by a terminal event in clinical trials. It is of interest to assess the treatment efficacy simultaneously with respect to both the recurrent events and the terminal event in many applications. In this paper we propose joint covariate-adjusted score test statistics based on joint models of recurrent events and a terminal event. No assumptions on the functional form of the covariates are needed. Simulation results show that the proposed tests can improve the efficiency over tests based on covariate unadjusted model. The proposed tests are applied to the SOLVD data for illustration.
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
Assumptions of Survival Analysis
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...
Kaplan-Meier Approach
Contingency Table

