Generalized Birnbaum–Saunders mixture cure frailty model: inferential method and an application to bone marrow transplant data
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Publication:6141743
DOI10.1080/03610918.2021.1995753OpenAlexW3210309470MaRDI QIDQ6141743
Mu He, Unnamed Author, Narayanaswamy Balakrishnan
Publication date: 23 January 2024
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2021.1995753
clustered datalikelihood inferencegeneralized Birnbaum-Saunders distributionMonte-Carlo simulationmarginal approachcensoring datamixture cure frailty model
Cites Work
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- Bayesian analysis of an inverse Gaussian correlated frailty model
- Lifetime analysis based on the generalized Birnbaum-Saunders distribution
- Modelling heterogeneity in survival analysis by the compound Poisson distribution
- A survival model with Birnbaum-Saunders frailty for uncensored and censored cancer data
- Birnbaum-Saunders frailty regression models: Diagnostics and application to medical data
- Life table methods for heterogeneous populations: Distributions describing the heterogeneity
- Survival models for heterogeneous populations derived from stable distributions
- Testing for the Presence of Immune or Cured Individuals in Censored Survival Data
- Joint model for recurrent event data with a cured fraction and a terminal event
- An approach to model clustered survival data with dependent censoring
- Birnbaum‐Saunders distribution: A review of models, analysis, and applications
- The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application
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