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Volumn 27, Issue 25, 2008, Pages 5235-5251

Predicting impacts of mass-screening policy changes on breast cancer mortality

Author keywords

Breast cancer; Cure model; Mass screening; Mortality; Prediction; Survival

Indexed keywords

ARTICLE; BREAST TUMOR; FINLAND; FORECASTING; HUMAN; MANAGEMENT; MASS SCREENING; MORTALITY; STATISTICAL MODEL; STATISTICS;

EID: 55849137354     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3345     Document Type: Article
Times cited : (3)

References (21)
  • 1
    • 0033396101 scopus 로고    scopus 로고
    • Implemenlation of screening as a public health policy: issues in design and evaluation
    • Hakama M, Piikkala E, Söderman B, Day N. Implemenlation of screening as a public health policy: issues in design and evaluation. Journal of Medical Screening 1999: 6:209-216.
    • (1999) Journal of Medical Screening , vol.6 , pp. 209-216
    • Hakama, M.1    Piikkala, E.2    Söderman, B.3    Day, N.4
  • 2
    • 0036977642 scopus 로고    scopus 로고
    • Programme sensitivity and effectiveness of mammography service screening in Helsinki, Finland
    • Anttila A, Koskela J, Hakama M. Programme sensitivity and effectiveness of mammography service screening in Helsinki, Finland. Journal of Medical Screening 2002; 9:153-158.
    • (2002) Journal of Medical Screening , vol.9 , pp. 153-158
    • Anttila, A.1    Koskela, J.2    Hakama, M.3
  • 4
    • 37349033919 scopus 로고    scopus 로고
    • Organised mammography screening reduces breast cancer mortality: a cohort study from Finland
    • Sarkeala T, Heinävaara S, Anttila A. Organised mammography screening reduces breast cancer mortality: a cohort study from Finland. International Journal of Cancer 2008; 122:614-619.
    • (2008) International Journal of Cancer , vol.122 , pp. 614-619
    • Sarkeala, T.1    Heinävaara, S.2    Anttila, A.3
  • 5
    • 33749151894 scopus 로고    scopus 로고
    • Influence of alternative screening scenarios on breast cancer incidence predictions (Finland)
    • Seppänen J, Heinävaara S, Hakulinen T. Influence of alternative screening scenarios on breast cancer incidence predictions (Finland). Cancer Causes and Control 2006: 17:1135-1144.
    • (2006) Cancer Causes and Control , vol.17 , pp. 1135-1144
    • Seppänen, J.1    Heinävaara, S.2    Hakulinen, T.3
  • 7
    • 33747585552 scopus 로고    scopus 로고
    • Predicting the lung cancer burden: accounting for selection of the patients with respect to general population mortality
    • Heinävaara S, Hakulinen T. Predicting the lung cancer burden: accounting for selection of the patients with respect to general population mortality. Statistics in Medicine 2006; 25:2967-2980.
    • (2006) Statistics in Medicine , vol.25 , pp. 2967-2980
    • Heinävaara, S.1    Hakulinen, T.2
  • 9
    • 0037093935 scopus 로고    scopus 로고
    • Estimating cancer prevalence using mixture models for cancer survival
    • Phillips N, Coldman A, McBride ML. Estimating cancer prevalence using mixture models for cancer survival. Statistics in Medicine 2002; 21:1257-1270.
    • (2002) Statistics in Medicine , vol.21 , pp. 1257-1270
    • Phillips, N.1    Coldman, A.2    McBride, M.L.3
  • 11
    • 0023176287 scopus 로고
    • Models for temporal variation in cancer rates. I: age-period and age-cohort models
    • Clayton D, Schifflers E. Models for temporal variation in cancer rates. I: age-period and age-cohort models. Statistics in Medicine 1987; 6:449-467.
    • (1987) Statistics in Medicine , vol.6 , pp. 449-467
    • Clayton, D.1    Schifflers, E.2
  • 12
    • 84877837959 scopus 로고    scopus 로고
    • SAS Institute Inc. SAS Institute Inc.: Cary, NC
    • SAS Institute Inc. SAS/STA7® User's Guide, Version 8. SAS Institute Inc.: Cary, NC, 1999; 2371-2418.
    • (1999) SAS/STA7® User's Guide, Version 8 , pp. 2371-2418
  • 13
  • 14
    • 2942635215 scopus 로고    scopus 로고
    • Cure fraction estimation from the mixture cure models for grouped survival data
    • Yu B, Tiwari RC, Cronin KA, Feuer EJ. Cure fraction estimation from the mixture cure models for grouped survival data. Statistics in Medicine 2004; 23:1733-1747.
    • (2004) Statistics in Medicine , vol.23 , pp. 1733-1747
    • Yu, B.1    Tiwari, R.C.2    Cronin, K.A.3    Feuer, E.J.4
  • 16
    • 0037202547 scopus 로고    scopus 로고
    • Estimation and projections of cancer prevalence from cancer registry data
    • Verdecchia A, De Angelis G, Capocaccia R. Estimation and projections of cancer prevalence from cancer registry data. Statistics in Medicine 2002; 21:3511-3526.
    • (2002) Statistics in Medicine , vol.21 , pp. 3511-3526
    • Verdecchia, A.1    De Angelis, G.2    Capocaccia, R.3
  • 17
    • 34648828972 scopus 로고    scopus 로고
    • Estimating and modelling the cure fraction in population-based cancer survival analysis
    • Lambert PC, Thompson JR, Weston CL, Dickman PW. Estimating and modelling the cure fraction in population-based cancer survival analysis. Biostatistics 2007 ; 8(3):576-594.
    • (2007) Biostatistics , vol.8 , Issue.3 , pp. 576-594
    • Lambert, P.C.1    Thompson, J.R.2    Weston, C.L.3    Dickman, P.W.4
  • 18
    • 1442314937 scopus 로고    scopus 로고
    • Are patients diagnosed with breast cancer before age 50 years ever cured?
    • Brenner H, Hakulinen T. Are patients diagnosed with breast cancer before age 50 years ever cured? Journal of Clinical Oncology 2004; 22:432-438.
    • (2004) Journal of Clinical Oncology , vol.22 , pp. 432-438
    • Brenner, H.1    Hakulinen, T.2
  • 21
    • 0028133272 scopus 로고
    • Precision of incidence predictions based on Poisson distributed observations
    • Hakulinen T, Dyba T. Precision of incidence predictions based on Poisson distributed observations. Statistics in Medicine 1994; 13:1513-1523.
    • (1994) Statistics in Medicine , vol.13 , pp. 1513-1523
    • Hakulinen, T.1    Dyba, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.