Distinguishing Effects on Tumor Multiplicity and Growth Rate in Chemoprevention Experiments

DOI10.1111/j.0006-341X.2000.01068.xzbMath1060.62598WikidataQ73326294 ScholiaQ73326294MaRDI QIDQ4670459

Gregg E. Dinse, David B. Dunson

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

Bayesian analysisGibbs samplerbreast cancermixture modeltumorigenicity experimentmammary tumorspalpable tumors

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Bayesian inference (62F15)

Related Items (3)

Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data ⋮ Tests for effects on tumor frequency and latency in multiple dosing photococarcinogenicity experiments ⋮ A Proportional Hazards Model for Incidence and Induced Remission of Disease

Uses Software

• boa

Cites Work

• Bayesian computation and stochastic systems. With comments and reply.
• Markov chains for exploring posterior distributions. (With discussion)
• Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
• Sampling-Based Approaches to Calculating Marginal Densities
• Multivariate Generalizations of the Proportional Hazards Model
• The Analysis of Cancer Chemoprevention Experiments
• Regression Analysis of Grouped Survival Data with Application to Breast Cancer Data
• Modeling Tumor Onset and Multiplicity Using Transition Models with Latent Variables
• Adaptive Rejection Sampling for Gibbs Sampling
• Models for Papilloma Multiplicity and Regression: Applications to Transgenic Mouse Studies

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