A New Class of Cure Rate Survival Models: Properties, Inference and Applications-Reference-Cited by-同舟云学术

A New Class of Cure Rate Survival Models: Properties, Inference and Applications

Published:2021-01 Issue:01 Volume:13 Page:2150001
ISSN:2424-922X
Container-title:Advances in Data Science and Adaptive Analysis
language:en
Short-container-title:Adv. Data Sci. Adapt. Data Anal.

Author:

Barriga Gladys D. C.¹,Suzuki Adriano K.²,Cancho Vicente G.²,Louzada Francisco²

Affiliation:

1. Departamento de Engenharia de Produção, Universidade Estadual Paulista, Brazil

2. Departamento de Matemática Aplicada e Estatística, Universidade de São Paulo, Brazil

Abstract

We propose a new class of survival models for time-to-event data with a cure fraction. This new model is an extension of the promotion time cure rate model. Furthermore, we extend the model to the regression model to evaluate the effect of covariates in the cure fraction. An expectation-maximization algorithm is adopted for estimating the model parameters. A simulation study is conducted in order to assess the proposed model and the computation algorithm. The methodology is illustrated using a real Brazilian bank personal loan portfolio data set.

Publisher

World Scientific Pub Co Pte Lt

Link

https://www.worldscientific.com/doi/pdf/10.1142/S2424922X21500017

Reference22 articles.

1. Modelling Heterogeneity in Survival Analysis by the Compound Poisson Distribution

2. A new survival model with surviving fraction: An application to colorectal cancer data

3. A non-default rate regression model for credit scoring

4. Modelling small-business credit scoring by using logistic regression, neural networks and decision trees

5. Survival Curve for Cancer Patients Following Treatment

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Bayesian cure rate regression model using Hamiltonian Monte Carlo methods;Communications in Statistics - Simulation and Computation;2024-06-30