Long-term survival models with overdispersed number of competing causes
type: Item
instance of: scholarly article
title: Long-term survival models with overdispersed number of competing causes
zbMATH Open document ID: 1468.62024
author: Wagner Barreto-Souza
published in: Computational Statistics and Data Analysis
publication date: 2018-08-21T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6921397
zbMATH Keywords: cure rate models
zbMATH Keywords: lifetime
zbMATH Keywords: exponential family
zbMATH Keywords: mixed Poisson distributions
zbMATH Keywords: heterogeneous promotion models
MaRDI profile type: Publication
full work available at URL: j.csda.2015.05.003
OpenAlex ID: W237070534
cites work: Q5791411
cites work: A New Bayesian Model for Survival Data with a Surviving Fraction
cites work: Flexible Cure Rate Modeling Under Latent Activation Schemes
cites work: Asymptotic Results for Exponential Mixture Models with Long-Term Survivors
cites work: Exponential mixture models with long-term survivors and covariates
cites work: A Linear Rank Test for Use When the Main Interest Is in Differences in Cure Rates
cites work: Bayesian survival analysis
cites work: A mixture model combining logistic regression with proportional hazards regression
cites work: On semiparametric transformation cure models
cites work: Q3543784
cites work: An extended cure model and model selection
cites work: COM-Poisson cure rate survival models and an application to cutaneous melanoma data
cites work: Promotion Time Models with Time‐Changing Exposure and Heterogeneity: Application to Infectious Diseases
cites work: Q4230745
cites work: Cure rate models: A unified approach
cites work: Semiparametric Transformation Models for Survival Data With a Cure Fraction
DOI: 10.1016/J.CSDA.2015.05.003
description: scientific article; zbMATH DE number 6921397