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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 PY - 2009 TI - Bayesian Estimation of Mean Sojourn Time and Sensitivity in the Czech Organized Mammography Screening Programme 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 45-69. 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 screen-detectable 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 tree-state Markov model with states: disease free - preclinical screen-detectable - clinical disease was developed and utilized for estimation. Analysis was performed using WinBUGS programme. ER -
BUREŠOVÁ, Lucie, Ondřej MÁJEK, Jan DANEŠ, Helena BARTOŇKOVÁ, Miroslava SKOVAJSOVÁ a Ladislav DUŠEK. 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.
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