Estimation of Cumulative Incidence Function in the Presence of Middle Censoring Using Improper Gompertz Distribution
From MaRDI portal
Publication:6100958
DOI10.6092/issn.1973-2201/12309OpenAlexW3210775068MaRDI QIDQ6100958
No author found.
Publication date: 31 May 2023
Full work available at URL: https://doaj.org/article/5abb42493894450880c0f98131d260b7
maximum likelihood estimatorMCMC methodBayes estimatorscumulative incidence functionmiddle censoringimproper Gompertz distribution
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Life distributions. Structure of nonparametric, semiparametric, and parametric families.
- Parameter estimations for generalized exponential distribution under progressive type-I interval censoring
- Estimation for exponential distribution based on competing risk middle censored data
- Parametric regression on cumulative incidence function
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- A nonidentifiability aspect of the problem of competing risks.
- Nonparametric estimation for middle-censored data
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- Parametric inference for quantile event times with adjustment for covariates on competing risks data
- Statistical analysis of middle censored competing risks data with exponential distribution
- A 3-parameter Gompertz distribution for survival data with competing risks, with an application to breast cancer data
- On the robustness of right and middle censoring schemes in parametric survival models
- Monte Carlo sampling methods using Markov chains and their applications
- Direct Parametric Inference for the Cumulative Incidence Function
- Introducing Monte Carlo Methods with R