Record number :
712246
Title of article :
Bayesian assessment of times to diagnosis in breast cancer screening
Author/Authors :
Carmen Armero، نويسنده , , Antonio L?pez-Qu?lez & Rut L?pez-S?nchez، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
13
From page :
997
To page :
1009
Abstract :
Breast cancer is one of the diseases with the most profound impact on health in developed countries and mammography is the most popular method for detecting breast cancer at a very early stage. This paper focuses on the waiting period from a positive mammogram until a confirmatory diagnosis is carried out in hospital. Generalized linear mixed models are used to perform the statistical analysis, always within the Bayesian reasoning. Markov chain Monte Carlo algorithms are applied for estimation by simulating the posterior distribution of the parameters and hyperparameters of the model through the free softwareWinBUGS
Keywords :
Bayesian statistics , breast cancer screening program , Markov chain Monte Carlo , Generalized linear mixed models
Journal title :
JOURNAL OF APPLIED STATISTICS
Serial Year :
2008
Link To Document :
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