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Updated: May 28, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
A discrete Weibull proportional odds survival model
Marcílio Ramos Pereira Cardial1, Juliana Cobre1, Eduardo Yoshio Nakano2
1Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, SP, Brazil.
Abstract:
The purpose of this paper is to present the development of the Proportional Odds Model for discrete time-to-event data in a survival analysis context. In this work, inferences about the model parameters considering the discrete Weibull as baseline distribution are presented, obtaining the point and interval estimates of the model parameters. In addition, procedures for checking the proportional odds assumption were proposed. Simulation studies were performed to evaluate the asymptotic properties of the estimators. The proposed model is illustrated using a dataset on the survival time of patients with Leukemia.
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