Survival functions for the frailty models based on the discrete compound Poisson process
DOI10.1080/00949655.2012.679943zbMath1453.62660OpenAlexW1978993904WikidataQ60016587 ScholiaQ60016587MaRDI QIDQ5218937
Publication date: 6 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2012.679943
estimationinfinitely divisible distributionsstable distributionsfrailty modelscompound Poisson distributioncensored data models
Infinitely divisible distributions; stable distributions (60E07) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
Related Items (4)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Proportional hazards models with discrete frailty
- Modelling heterogeneity in survival analysis by the compound Poisson distribution
- Survival analysis. Techniques for censored and truncated data.
- Frailty models that yield proportional hazards.
- Nonparametric hazard versus nonparametric frailty distribution in modelling recurrence of breast cancer
- Life table methods for heterogeneous populations: Distributions describing the heterogeneity
- The probability function of a geometric Poisson distribution
- The Analysis of Re-Employment Probabilities for the Unemployed
- Modelling heterogeneity in survival data
- Multivariate survival models induced by genetic frailties, with application to linkage analysis
- A new look at the statistical model identification
This page was built for publication: Survival functions for the frailty models based on the discrete compound Poisson process