Bayesian Survival Analysis of Head and Neck Cancer Data Using Lognormal Model

DOI10.1080/03610926.2012.664233OpenAlexW2067757511MaRDI QIDQ2815370

No author found.

Publication date: 28 June 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.664233

zbMATH Keywords

Monte CarloMarkov chainGibbs samplersurvival functionhazard ratelognormal modelhead and neck cancer

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Inference for an exponentiated half logistic distribution with application to cancer hybrid censored data ⋮ Bayesian analysis of head and neck cancer data using generalized inverse Lindley stress–strength reliability model ⋮ On the estimation of stress strength reliability parameter of inverted gamma distribution ⋮ Alpha power transformed inverse Lindley distribution: a distribution with an upside-down bathtub-shaped hazard function

Cites Work

• Markov chain Monte Carlo: can we trust the third significant figure?
• Posterior analysis of lognormal regression models using the Gibbs sampler
• Fixed-Width Output Analysis for Markov Chain Monte Carlo
• Full posterior analysis of three parameter lognormal distribution using gibbs sampler
• The Lognormal Distribution as a Model for Survival Time in Cancer, With an Emphasis on Prognostic Factors
• A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
• Adaptive Rejection Sampling for Gibbs Sampling
• Reliability and Risk
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Bayesian Survival Analysis of Head and Neck Cancer Data Using Lognormal Model