Using Weibull Mixture Distributions to Model Heterogeneous Survival Data
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Publication:5697372
DOI10.1081/SAC-200068372zbMath1072.62110MaRDI QIDQ5697372
Michael P. Wiper, Maria Teresa Rodríguez-Bernal, J. Miguel Marín
Publication date: 17 October 2005
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Survival analysis and censored data (62N99) Numerical analysis or methods applied to Markov chains (65C40)
Related Items (7)
Bootstrap likelihood ratio test for Weibull mixture models fitted to grouped data ⋮ Heterogeneous data modeling with two-component Weibull–Poisson distribution ⋮ A comparison of the parameter estimation methods for bimodal mixture Weibull distribution with complete data ⋮ Constraints for generalized mixtures of Weibull distributions with a common shape parameter ⋮ Generalized mixtures of Weibull components ⋮ Modeling Heterogeneous Survival Data Using Mixture of Extended Exponential-Geometric Distributions ⋮ Unnamed Item
Cites Work
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- Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
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- Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing With Application in Lupus Nephritis
- Finite mixture models
- BAYESIAN ANALYSIS OF FINITE MIXTURES OF WEIBULL DISTRIBUTIONS
- Reversible Jump, Birth-and-Death and More General Continuous Time Markov Chain Monte Carlo Samplers
- Bayesian survival analysis
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