The cure for colon cancer: Results from the eurocare study

International Journal of Cancer

Volumn 77, Issue 3, 1998, Pages 322-329

  Verdecchia, Arduino ^a   De Angelis, Roberta ^a   Capocaccia, Riccardo ^a   Sant, Milena ^b   Micheli, Andrea ^b   Gatta, Gemma ^b   Berrino, Franco ^b  

^a ISTITUTO SUPERIORE DI SANITÀ   (Italy)

^b NATIONAL CANCER INSTITUTE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; CANCER REGISTRY; CANCER SURVIVAL; COLON CANCER; EUROPEAN UNION; FEMALE; GEOGRAPHIC DISTRIBUTION; HUMAN; LIFE EXPECTANCY; MAJOR CLINICAL STUDY; MALE; POPULATION RESEARCH; PRIORITY JOURNAL; RISK FACTOR; SURVIVAL RATE;

ADULT; AGE FACTORS; AGED; COLONIC NEOPLASMS; EUROPE; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; RISK FACTORS; SEX FACTORS; SURVIVAL RATE; TIME FACTORS; TREATMENT OUTCOME;

EID: 0031836482     PISSN: 00207136     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0215(19980729)77:3<322::AID-IJC2>3.0.CO;2-Q     Document Type: Article

References (14)

1. BERKSON, J. and GAGE, R.P., Survival curve for cancer patients following treatment. J. amer. Statist. Soc., 47, 501-515 (1952).
2. BERRINO, F., SANT, M., VERDECCHIA, A., CAPOCACCIA, R., HAKULINEN, T. and ESTÈVE, J. (eds.), Survival of cancer patients in Europe: the EUROCARE study. IARC Scientific Publication 132 (1995).
3. BOAG, J., Maximum likelihood estimates of the proportion of patients cured by cancer therapy. J. roy. Statist. Soc. (Series B), 11, 15-44 (1949).
4. DE ANGELIS, R., CAPOCACCIA, R., VERDECCHIA, A. and HAKULINEN, T., Mixture models for cancer survival analysis: application to population-based data with covariates. Statist. Med. (1998). (In press).
5. ERABLER, W.B., Geriatric correlation of experimental tumor biology. Oncology, 6(Suppl.), 58-61 (1992).
6. ESTÈVE, J, BENHAMOU, E., CROASDALE, M. and RAYMOND, L., Relative survival and the estimation of net survival: elements for further discussion. Statist. Med., 9, 529-538 (1990).
7. FAREWELL, V.T., The use of mixture models for the analysis of survival data with long term survivors. Biometrics, 38, 1041-1046 (1982).
8. GAMEL, J.W., VOGEL, R.L., VALAGUSSA, P. and BONADONNA, G., Parametric survival analysis of therapy for stage II breast cancer. Cancer, 74, 2483-2490 (1994).
9. HAKULINEN, T., On long-term relative survival rates. J chron. Dis., 30, 431-443 (1977).
10. HAKULINEN, T., Cancer survival corrected for heterogeneity of in patients withdrawal. Biometrics, 38, 933-942 (1982).
11. HAYBITT, J.L., A two parameter model for the survival curve of treated cancer patients. J. amer. Statist. Soc., 53, 16-22, (1965).
12. RAYMOND, L., FISHER, B., FIORETTA, G. and BOUCHARDY, C., Migration bias in cancer survival rates. J. Epidemiol. Biostatist., 1, 167-173 (1996).
13. SANT, M., CAPOCACCIA, R., VERDECCHIA, A., GATTA, G., MICHELI, A., MARIOTTO, A., HAKULINEN, T., BERRINO, F. and the EUROCARE Working Group, Comparisons of colon-cancer survival among European countries: the EUROCARE study. Int. J. Cancer, 63, 43-48 (1995).
14. SAS/STAT User's Guide, Version 6 (4th ed.), Vol. 2, SAS Institute Inc., Cary, NC (1989).