Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models
From MaRDI portal
Publication:6643337
DOI10.1080/02664763.2024.2315458MaRDI QIDQ6643337
Atsushi Miyamoto, Takeshi Emura, Author name not available (Why is that?), Hirofumi Michimae
Publication date: 26 November 2024
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
- Bayesian estimation of a lifetime distribution under double truncation caused by time-restricted data collection
- An introduction to copulas.
- Analysis of left truncated and right censored competing risks data
- Inference from iterative simulation using multiple sequences
- Permutation tests for general dependent truncation
- Survival analysis. Techniques for censored and truncated data.
- Likelihood analysis and stochastic EM algorithm for left truncated right censored data and associated model selection from the Lehmann family of life distributions
- Analysis of dependent left-truncated and right-censored competing risks data with partially observed failure causes
- Prediction of remaining life of power transformers based on left truncated and right censored lifetime data
- Analysis of hybrid censored competing risks data
- The Analysis of Failure Times in the Presence of Competing Risks
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- Estimates of marginal survival for dependent competing risks based on an assumed copula
- A self-consistent estimator of marginal survival functions based on dependent competing risk data and an assumed copula
- Statistical analysis of dependent competing risks model in accelerated life testing under progressively hybrid censoring using copula function
- Inference of dependent left-truncated and right-censored competing risks data from a general bivariate class of inverse exponentiated distributions
- Retrospective sampling of survival data based on a Poisson birth process: conditional maximum likelihood
- Reliability Estimation from Left-Truncated and Right-Censored Data Using Splines
- An approach to model clustered survival data with dependent censoring
- Principles of Copula Theory
- Copula-graphic estimation with left-truncated and right-censored data
- Some Further Issues Concerning Likelihood Inference for Left Truncated and Right Censored Lognormal Data
- Fitting competing risks with an assumed copula
This page was built for publication: Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6643337)