An improper form of Weibull distribution for competing risks analysis with Bayesian approach

DOI10.1080/02664763.2019.1597027OpenAlexW2937303116MaRDI QIDQ5034183

Fatemeh Sadat Hosseini-Baharanchi, Ahmad Reza Baghestani

Publication date: 24 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1597027

zbMATH Keywords

Bayesian analysisWeibull distributioncompeting risksimproper distributionparametric survival modeling

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (2)

Robust Bayesian estimation of cumulative incidence function for competing risk data with missing causes ⋮ Inference of progressively type-II censored competing risks data from Chen distribution with an application

Uses Software

• cmprsk

Cites Work

• Unnamed Item
• Bayesian inference of the fully specified subdistribution model for survival data with competing risks
• A class of k-sample tests for comparing the cumulative incidence of a competing risk
• What Price Kaplan-Meier?
• Competing Risks
• Survival models for heterogeneous populations derived from stable distributions
• A nonidentifiability aspect of the problem of competing risks.
• Exponentiated Weibull family for analyzing bathtub failure-rate data
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• A 3-parameter Gompertz distribution for survival data with competing risks, with an application to breast cancer data
• Direct Parametric Inference for the Cumulative Incidence Function

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