Bayesian assessment of times to diagnosis in breast cancer screening

References

• Celeux , G. , Forbes , F. , Roberts , C. P. and Titterington , D. M. 2006 . Deviance information criteria for missing data models . Bayesian Anal , 4 : 651 – 674 .
   Google Scholar
• Clayton , D. G. 1996 . “ Generalized linear mixed models ” . In Markov Chain Monte Carlo in Practice , Edited by: Gilks , W. R. , Richardson , S. and Spiegelhalter , D. J. 275 – 301 . London : Chapman and Hall .
   Google Scholar
• Conselleria de Sanitat de la Generalitat Valenciana . 1998 . “ Programa de prevenci ón de cáncer de mama en la Comunidad Valenciana ” . In Monografies Sanitaries, serie E, núm. 25 , Valencia : Conselleria de Sanitat .
   Google Scholar
• Crane , M. , Newman , M. C , Chapman , P. F. and Fenlon , J. 2002 . Risk Assessment with Time to Event Models , Boca Raton : Lewis Publishers .
   Google Scholar
• Duijm , L. , Groenewoud , J. H. , Jansen , F. H. , Fracheboud , J. , van Beek , M. and de Koning , H. J. 2004 . Mammography screening in the Netherlands: delay in the diagnosis of breast cancer after breast cancer screening . Br. J. Cancer , 91 : 1795 – 1799 .
   PubMed Web of Science ®Google Scholar
• European Comission . 2001 . European Guidelines for Quality Assurance in Mammography Screening, , 3 ISBN, 92-894-1145-7
   Google Scholar
• Gelfand , A. E. and Wang , F. 2000 . Modelling the cumulative risk for a false-positive under repeated screening events . Stat. Med , 19 : 1865 – 1879 .
   PubMed Web of Science ®Google Scholar
• Gelman , A. 2006 . Prior distributions for variance parametrs in hierarchical models . Bayesian Anal , 3 : 515 – 534 .
   Google Scholar
• Gelman , A. and Rubin , D. B. 1992 . Inference from iterative simulation using multiple sequences . Stat. Sci , 7 : 457 – 472 .
   Google Scholar
• Hemming , K. and Shaw , J. E.H. 2002 . A parametric dynamic survival model applied to breast cancer survival times . J. Roy. Stat. Soc. C Appl. Stat , 51 ( 4 ) : 421 – 435 .
   Web of Science ®Google Scholar
• Lee , S. , Huang , H. and Zelen , M. 2004 . Early detection of disease and scheduling of screening examinations . Stat. Methods Med. Res , 13 : 443 – 456 .
   PubMed Web of Science ®Google Scholar
• Lipkus , I. M. , Halabi , S. , Strigo , T. S. and Rimer , B. K. 2000 . The impact of abnormal mammograms on psychosocial outcomes and subsequent screening . Psycho-Oncol , 9 ( 5 ) : 402 – 410 .
   PubMed Web of Science ®Google Scholar
• Lowe , J. B. , Balanda , K. P. , Del Mar , C. and Hawes , E. 1999 . Psychologic distress in women with abnormal findings in mass mammography screening . Cancer , 85 ( 5 ) : 1114 – 1118 .
   PubMed Web of Science ®Google Scholar
• McCann , J. , Stockton , D. and Godward , S. 2002 . Impact of false-positive mammography on subsequent screening attendance and risk of cancer . Breast Cancer Res , 4 ( 5 ) : R11
   PubMed Web of Science ®Google Scholar
• Montella , M. , Crispo , A. , D'Aiuto , M. , de Bellis , G. , Fabbrocini , G. , Pizzorusso , M. , Tamburini , M. and Sivestra , P. 2001 . Determinant factors for diagnostic delay in operable breast cancer patients . Eur. J. Cancer Prev , 10 : 53 – 59 .
   PubMed Web of Science ®Google Scholar
• Natarajan , R. and Kass , R. E. 2000 . Reference Bayesian methods for generalized linear mixed models . J. Am. Stat. Assoc , 95 : 227 – 237 .
   Web of Science ®Google Scholar
• Paliwal , P. , Gelfand , A. E. , Abraham , L. , Barlow , W. and Elmore , J. G. 2006 . Examining accuracy of screening mammography using an event order model . Stat. Med , 25 : 267 – 283 .
   PubMed Web of Science ®Google Scholar
• Pérez-Ocón , R. , Ruiz-Castro , J. E. and Gámiz-Pérez , M. L. 2001 . Non-homogeneous Markov models in the analysis of survival after breast cancer . J. Roy. Stat. Soc. C (Appl. Stat.) , 50 ( 1 ) : 111 – 124 .
   Web of Science ®Google Scholar
• Robin Yabroff , K. , Breen , N. , Vernon , S. W. , Meissner , H. I. , Freedman , A. N. and Ballard-Barbash , R. 2004 . What factors are associated with diagnostic follow-up after abnormal mammograms? Findings from a US National Survey . Cancer Epidemiol. Biomarkers Prev , 13 ( 5 ) : 723 – 731 .
   PubMed Web of Science ®Google Scholar
• Spiegelhalter , D. J. , Best , N. G. , Carlin , B. P. and van der Linde , A. 2002 . Bayesian measures of model complexity and fit (with discussion) . J. Roy. Stat. Soc. B (Stat. Methodol.) , 64 ( 4 ) : 583 – 639 .
   Web of Science ®Google Scholar
• Spiegelhalter , D. J. , Thomas , A. , Best , N. and Lunn , D. 2003 . WinBUGS Version 1.4 User Manual , http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/manual14.pdf
   Google Scholar
• Warwick , J. and Duffy , S. W. 2005 . A review of cancer screening evaluation technique with some particular examples in breast cancer screening . J. Roy. Stat. Soc. A , 168 : 657 – 677 .
   Web of Science ®Google Scholar
• Zhao , Y. , Staudenmayer , J. , Coull , B. A. and Wand , M. P. 2006 . General design Bayesian generalized linear mixed fodels . Stat. Sci , 21 : 35 – 51 .
   Web of Science ®Google Scholar