Long-term survival models with overdispersed number of competing causes

DOI10.1016/J.CSDA.2015.05.003zbMath1468.62024OpenAlexW237070534MaRDI QIDQ1663191

Wagner Barreto-Souza

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.05.003

zbMATH Keywords

lifetimeexponential familycure rate modelsmixed Poisson distributionsheterogeneous promotion models

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

The Log-Normal zero-inflated cure regression model for labor time in an African obstetric population ⋮ Convergence and inference for mixed Poisson random sums

Cites Work

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• An extended cure model and model selection
• Exponential mixture models with long-term survivors and covariates
• COM-Poisson cure rate survival models and an application to cutaneous melanoma data
• A Linear Rank Test for Use When the Main Interest Is in Differences in Cure Rates
• On semiparametric transformation cure models
• Asymptotic Results for Exponential Mixture Models with Long-Term Survivors
• A New Bayesian Model for Survival Data with a Surviving Fraction
• Promotion Time Models with Time‐Changing Exposure and Heterogeneity: Application to Infectious Diseases
• Flexible Cure Rate Modeling Under Latent Activation Schemes
• Cure rate models: A unified approach
• Semiparametric Transformation Models for Survival Data With a Cure Fraction
• Bayesian survival analysis
• A mixture model combining logistic regression with proportional hazards regression

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