A comparative study with bootstrap resampling technique to uncover behavior of unconditional hazards and survival functions for gamma and inverse Gaussian frailty models
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Publication:2041174
DOI10.1007/s40096-020-00366-1zbMath1475.62246OpenAlexW3119020862MaRDI QIDQ2041174
Nihal Ata Tutkun, Pius Marthin
Publication date: 15 July 2021
Published in: Mathematical Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40096-020-00366-1
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Cites Work
- Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies
- Graphical tests for the assumption of gamma and inverse Gaussian frailty distributions
- Bayesian analysis of an inverse Gaussian correlated frailty model
- Analysis of multivariate survival data
- Nonparametric hazard versus nonparametric frailty distribution in modelling recurrence of breast cancer
- General frailty model and stochastic orderings
- The frailty model.
- Modeling bivariate survival data using shared inverse Gaussian frailty model
- Life table methods for heterogeneous populations: Distributions describing the heterogeneity
- The Identifiability of the Proportional Hazard Model
- Modeling Survival Data Using Frailty Models
- Correlated gamma frailty models for bivariate survival data
- A note on the prediction of frailties with misspecified shared frailty models
- A new look at the inverse Gaussian distribution with applications to insurance and economic data
- Comparison of correlated frailty models
- Correlated positive stable frailty models
- Introduction to the bootstrap world
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