Work

Proportional Log Survival Model for Discrete Time-to-Event Data

Year: 2025

Type: article

Abstract: The aim of this work is to propose a proportional log survival model (PLSM) as a discrete alternative to the proportional hazards (PH) model. This paper presents the formulation of PLSM as well as the procedures for verifying its assumption. The parameters of the PLSM are inferred using the maximum likelihood method, and a simulation study was carried out to investigate the usual asymptotic properties of the estimators. The PLSM was illustrated using data on the survival time of leukemia patients, and it was shown to be a viable alternative for modeling discrete survival data in the presence of covariates.

Source: Mathematics

DOI: 10.3390/math13050800

Authors: Tiago Chandiona Ernesto Franque, Marcílio Ramos Pereira Cardial, Eduardo Yoshio Nakano

Institutions: Universidade de Brasília, Universidade Save, Universidade Federal de Goiás

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fundação de Apoio à Pesquisa do Distrito Federal