Bayesian inference of the fully specified subdistribution model for survival data with competing risks

DOI10.1007/s10985-012-9221-9zbMath1322.62099OpenAlexW2067831035WikidataQ34224518 ScholiaQ34224518MaRDI QIDQ746152

Miaomiao Ge, Ming-Hui Chen

Publication date: 15 October 2015

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3374158

zbMATH Keywords

partial likelihoodMarkov chain Monte Carloproportional hazardslatent variables

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items

An improper form of Weibull distribution for competing risks analysis with Bayesian approach, A dependent Dirichlet process model for survival data with competing risks, Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood, Cause-specific hazard regression estimation for modified Weibull distribution under a class of non-informative priors

Uses Software

• cmprsk

Cites Work

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• A competing risks model for correlated data based on the subdistribution hazard
• A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects
• A class of k-sample tests for comparing the cumulative incidence of a competing risk
• A Bayesian justification of Cox's partial likelihood
• Posterior propriety and computation for the Cox regression model with applications to missing covariates
• Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure
• A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types
• A nonidentifiability aspect of the problem of competing risks.
• Partial likelihood
• A Review and Critique of Some Models Used in Competing Risk Analysis
• The Analysis of Failure Times in the Presence of Competing Risks
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Bayesian Measures of Model Complexity and Fit
• Adaptive Rejection Sampling for Gibbs Sampling
• On the Use of Cause-Specific Failure and Conditional Failure Probabilities: Examples From Clinical Oncology Data