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@proceedings{840638, author = {Burešová, Lucie and Májek, Ondřej and Daneš, Jan and Bartoňková, Helena and Skovajsová, Miroslava and Dušek, Ladislav}, booktitle = {Sixth Workshop on BAYESIAN INFERENCE IN STOCHASTIC PROCESSES}, title = {Bayesian Estimation of Mean Sojourn Time and Sensitivity in the Czech Organized Mammography Screening Programme}, year = {2009} }
TY  CONF ID  840638 AU  Burešová, Lucie  Májek, Ondřej  Daneš, Jan  Bartoňková, Helena  Skovajsová, Miroslava  Dušek, Ladislav N2  Organized breast cancer screening programme in the Czech Republic was initiated in September 2002. Free biennial preventive mammography examinations are offered to women aged 4569. By year 2007 1,067,836 women were screened (more than 50% of the target population) in 1,611,582 examinations. A total of 7,835 cases of breast cancer were detected. Important parameters in assessing the quality of the programme and natural history of breast cancer are: mean duration of the preclinical screendetectable phase (the carcinoma is without clinical signs but it could be found by the screening test  mammography), which is called mean sojourn time, and sensitivity of mammography (capability of the test to detect cancer). These parameters are not directly observable; however, they can be estimated using mathematical models. Both parameters were estimated for different age groups of women in target population. Simple treestate Markov model with states: disease free  preclinical screendetectable  clinical disease was developed and utilized for estimation. Analysis was performed using WinBUGS programme. TI  Bayesian Estimation of Mean Sojourn Time and Sensitivity in the Czech Organized Mammography Screening Programme PY  2009 ER 
BUREŠOVÁ, Lucie, Ondřej MÁJEK, Jan DANEŠ, Helena BARTOŇKOVÁ, Miroslava SKOVAJSOVÁ a Ladislav DUŠEK. \textit{Bayesian Estimation of Mean Sojourn Time and Sensitivity in the Czech Organized Mammography Screening Programme}. In \textit{Sixth Workshop on BAYESIAN INFERENCE IN STOCHASTIC PROCESSES}. 2009.
