Evaluation by Markov chain models of a non-randomised breast cancer screening programme in women aged under 50 years in Sweden

Journal of Epidemiology and Community Health

Volumn 52, Issue 5, 1998, Pages 329-335

  Chen, H H ^a   Thurfjell, E ^b   Duffy, S W ^c,e   Tabar, L ^d  

^a Taipei National University of Arts   (Taiwan)

^b UPPSALA UNIVERSITY   (Sweden)

^c MRC BIOSTATISTICS UNIT   (United Kingdom)

^d FALUN HOSPITAL   (Sweden)

^e UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BREAST CANCER; CANCER MORTALITY; CANCER SCREENING; DISEASE COURSE; FEMALE; HUMAN; HUMAN EXPERIMENT; MAMMOGRAPHY; NORMAL HUMAN; PROBABILITY; SWEDEN;

EID: 0031744585     PISSN: 0143005X     EISSN: None     Source Type: Journal    
DOI: 10.1136/jech.52.5.329     Document Type: Article

References (19)

1. Shapiro S, Strax P, Venet L. Periodic breast cancer screening in reducing mortality from breast cancer. JAMA 1971;215:1777-85.
2. Tabar L, Fagerberg CJG, Gad A, et al. Reduction in mortality from breast cancer after mass screening with mammography. Lancet 1985;i:829-32.
3. Nystrom L, Rutqvist LE, Wall S, et al. Breast cancer screening with mammography: an overview of the Swedish randomised trials. Lancet 1993;341:973-8.
4. Tabar L, Fagerberg CJG, Chen HH, et al. Efficacy of breast cancer screening by age: New results from the Swedish two-county trial. Cancer 1995;75:2507-17.
5. Chen HH, Duffy SW, Tabar L, et al. Markov chain models for progression of breast cancer Part I:tumour attributes and the preclinical screen-detectable phase. Journal of Epidemiology and Biostatistics 1997;2:9-23.
6. Duffy SW, Chen HH, Tabar L, et al. Estimation of mean sojourn time in breast cancer screening using a Markov chain model of both entry to and exit from the preclinical detectable phase. Stat Med 1995;14:1531-43.
7. Chen HH, Duffy SW, Tabar L, Day NE. Markov chain models for progression of breast cancer Part II: Prediction of outcomes for different screening regimes. Journal of Epidemiology and Biostatistics 1997;2:25-35.
8. Chen HH, Duffy SW, Tabar L. A Markov chain method to estimate the tumourprogression rate from preclinical to clinical phase, sensitivity, and positive predictive value for mammmography in breast cancer screening. The Statistician 1996;45:307-17.
9. Zelen M, Feinleib M. On the theory of screening for chronic disease. Biometrics 1969;56:601-14.
10. Day NE, Walter SD. Simplified models of screening for chronic disease: estimation procedures from mass screening programmes. Biometrics 1984;40:1-14.
11. Prorok PC. The theory of Periodic screening. II. Doubly bounded recurrence times and mean lead time and detection probability estimation. Advances in Applied Probability 1976;8:460-76.
12. Albert A, Gertman PM, Louis TA. Screening-for the early detection of cancer. I. The temporal natural history of a progressive disease state. Math Biosci 1978;40:1-59.
13. Shwartz M. An analysis of the benefits of serial screening for breast cancer based on a mathematical model of the disease. Cancer 1978;34:77-86.
14. Tabar L, Fagerberg CJG, Chen HH, et al. Tumour progression, histology and grade of ductal carcinoma: prognosis and progression. Int J Cancer 1996;66:413-19.
15. Tabar L, Fagerberg CJG, Chen HH, et al. Screening for breast cancer in women aged under 50: mode of detection, incidence, fatality, and histology. J Med Screen 1995;2:94-8.
16. Thurfjell EL, Lindgren JAA. Population-based mammography screening in Swedish clinical practice: prevalence and incidence screening in Uppsala county. Radiology 1994; 193:351-7.
17. Cox DR, Miller HD. The theory of stochastic processes. London: Methuen, 1965.
18. Tabar L, Faberbeg CJG, Day NE, et al. What is the optimal interval between mammographic screening examinations? An analysis is based on the latest results of the Swedish two-county breast cancer screening. Br J Cancer 1987;55: 547-51.
19. Thurfjell EL, Lindgren JAA. Breast cancer survival rates with mammographic screning. Similar facourable rates for women younger and those older than 50 years. Radiology 1996;201:421-6.