Homogeneous clustering method for data on tumor incidence due to dose levels

DOI10.1016/j.jkss.2008.01.004zbMath1149.62093OpenAlexW2059773569MaRDI QIDQ955855

Tae Young Yang

Publication date: 20 November 2008

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2008.01.004

zbMATH Keywords

cluster analysisBayesian nonparametric analysismixtures of Dirichlet processesrodent carcinogenicity datatumor onset times

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Bayesian inference (62F15) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Uses Software

• CODA

Cites Work

• On a class of Bayesian nonparametric estimates: I. Density estimates
• An improved collapsed Gibbs sampler for Dirichlet process mixing models
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• A Bayesian analysis of some nonparametric problems
• Bayesian Models for Multivariate Current Status Data with Informative Censoring
• Bayesian Methods for a Three-State Model for Rodent Carcinogenicity Studies
• The Calculation of Posterior Distributions by Data Augmentation
• Evaluating Constraints That Allow Survival-Adjusted Incidence Analyses in Single-Sacrifice Studies
• Bayesian Multiple Comparisons Using Dirichlet Process Priors
• Bayesian Density Estimation and Inference Using Mixtures

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