Nonproportional hazards model with a frailty term for modeling subgroups with evidence of long‐term survivors: Application to a lung cancer dataset

DOI10.1002/bimj.202000292zbMath1523.62118OpenAlexW3202418794MaRDI QIDQ6068327

Francisco Louzada, Alex Mota, Vera Lucia Tomazella, Eder A. Milani, Vinicius F. Calsavara, Amanda Buosi Gazon

Publication date: 15 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.202000292

zbMATH Keywords

frailty modellong-term survivorslung cancergeneralized time-dependent logistic modelweighted Lindley distributionnonproportional hazards model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• The generalized time-dependent logistic frailty model: an application to a population-based prospective study of incident cases of lung cancer diagnosed in Northern Ireland
• A two-parameter weighted Lindley distribution and its applications to survival data
• Comparison of estimation methods for the parameters of the weighted Lindley distribution
• On the unification of long-term survival models
• Extended hazard regression model for reliability and survival analysis
• Survival analysis. Techniques for censored and truncated data.
• Birnbaum-Saunders frailty regression models: Diagnostics and application to medical data
• Life table methods for heterogeneous populations: Distributions describing the heterogeneity
• Nonparametric Estimation from Incomplete Observations
• True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model
• An Extension of the Proportional-Hazards Model for Grouped Data
• Misspecified proportional hazard models
• Proportional excess hazards
• Modelling heterogeneity in survival data
• Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Effect of Frailty on Marginal Regression Estimates in Survival Analysis
• Numerical Optimization
• A partly parametric additive risk model
• Proportional hazards tests and diagnostics based on weighted residuals
• Polyhazard Models for Lifetime Data
• Extended Hazard Regression for Censored Survival Data with Covariates: A Spline Approximation for the Baseline Hazard Function
• Robust frailty modelling using non-proportional hazards models
• A note on parameter asymptotics for weighted Lindley distribution
• New modified moment estimators for the two-parameter weighted Lindley distribution
• On the Bayesian estimation of the weighted Lindley distribution
• A new look at the statistical model identification

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