Bayesian assessment of times to diagnosis in breast cancer screening

DOI10.1080/02664760802191397zbMath1253.62079OpenAlexW2093516203WikidataQ60214927 ScholiaQ60214927MaRDI QIDQ3183824

Carmen Armero, Rut López-Sánchez, Antonio López-Quílez

Publication date: 21 October 2009

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

Full work available at URL: https://doi.org/10.1080/02664760802191397

zbMATH Keywords

Markov chain Monte Carlogeneralized linear mixed models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40)

Uses Software

• WinBUGS

Cites Work

• Inference from iterative simulation using multiple sequences
• General design Bayesian generalized linear mixed models
• A Parametric Dynamic Survival Model Applied to Breast Cancer Survival Times
• Non-Homogeneous Markov Models in the Analysis of Survival After Breast Cancer
• Bayesian Measures of Model Complexity and Fit
• Early detection of disease and scheduling of screening examinations
• Deviance information criteria for missing data models

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