Graphical tests for the assumption of gamma and inverse Gaussian frailty distributions
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Publication:995971
DOI10.1007/s10985-005-5240-0zbMath1120.62079OpenAlexW2057037135WikidataQ51958844 ScholiaQ51958844MaRDI QIDQ995971
Polychronis Economou, Chrys Caroni
Publication date: 10 September 2007
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-005-5240-0
Characterization and structure theory of statistical distributions (62E10) Estimation in survival analysis and censored data (62N02)
Related Items (9)
Modelling survival data using mixtures of frailties ⋮ On proportional hazards assumption under the random effects models ⋮ A hidden competing risk model for censored observations ⋮ Percentile Estimation in Inverse Gaussian Distributions ⋮ On model selection in the case of nested distributions -- an application to frailty models ⋮ Parametric Proportional Odds Frailty Models ⋮ A comparative study with bootstrap resampling technique to uncover behavior of unconditional hazards and survival functions for gamma and inverse Gaussian frailty models ⋮ Graphical Tests for the Frailty Distribution in the Shared Frailty Model ⋮ Statistical inference for geometric process with the inverse Gaussian distribution
Cites Work
- Assessing gamma frailty models for clustered failure time data
- Life table methods for heterogeneous populations: Distributions describing the heterogeneity
- Survival models for heterogeneous populations derived from stable distributions
- A Look at the Burr and Related Distributions
- A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
- Cumulative Frequency Functions
- Diagnostic plots for assessing the frailty distribution in multivariate survival data
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