Related Experiment Video
Updated: Jun 11, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Analysis of Two-sample Censored Data Using a Semiparametric Mixture Model
1Department of Biostatistics, University of California, Los Angeles, CA 90095, U.S.A.
Abstract:
In this article we study a semiparametric mixture model for the two-sample problem with right censored data. The model implies that the densities for the continuous outcomes are related by a parametric tilt but otherwise unspecified. It provides a useful alternative to the Cox (1972) proportional hazards model for the comparison of treatments based on right censored survival data. We propose an iterative algorithm for the semiparametric maximum likelihood estimates of the parametric and nonparametric components of the model. The performance of the proposed method is studied using simulation. We illustrate our method in an application to melanoma.
Related Concept Videos
Censoring Survival Data
Comparing the Survival Analysis of Two or More Groups
Mechanistic Models: Compartment Models in Individual and Population Analysis
Kaplan-Meier Approach
Assumptions of Survival Analysis
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...

