Related Experiment Video
Updated: Aug 19, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
A simple test for independent censoring under the proportional hazards model
1Department of Applied Statistics, Sejong University, Seoul, Korea. leesy@cs.sejong.ac.kr
Abstract:
A simple method for testing the assumption of independent censoring is developed using a Cox proportional hazards regression model with a time-dependent covariate. This method involves further follow-up of a subset of lost-to-follow-up censored subjects. An adjusted estimator of the survivor function is obtained for the dependent censoring model under a proportional hazards alternative. The proposed procedure is applied to an example of a clinical trial for lung cancer and a simulation study is given for investigating the power of the proposed test.
Related Concept Videos
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Assumptions of Survival Analysis
Comparing the Survival Analysis of Two or More Groups
The Mantel-Cox Log-Rank Test
Hazard Rate
Censoring Survival Data

