An application of changepoint methods in studying the effect of age on survival in breast cancer

Computational Statistics and Data Analysis

Volumn 30, Issue 3, 1999, Pages 253-270

  Contal, Cécile ^a   O'Quigley, John ^a,b  

^a PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Breast cancer; Brownian bridge; Censored data; Continuous covariate; Cutpoint; Survival analysis

Indexed keywords

BROWNIAN MOVEMENT; COMPUTER SIMULATION; ONCOLOGY;

BROWNIAN BRIDGE; CHANGEPOINT METHODS; SURVIVAL ANALYSIS;

STATISTICAL METHODS;

EID: 0032626964     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(98)00096-6     Document Type: Article

References (21)

1. Altman D.G., Lausen B., Sauerbrei W., Schumacher M. Dangers of using "optimal" cutpoints in the evaluation of prognostic factors. J. Nat. Cancer Instit. 86:1994;829-835.
2. Billingsley, P., 1968. Convergence of Probability Measures. Wiley, New York.
3. Courdi A., Hery M., Chauvel P., Gioanni J., Namer M., Demard F. Prognostic value of continuous variables in breast cancer and head and neck cancer. Depencence on the cut-off level. Br. J. Cancer. 58:1988;88-90.
4. Cox D.R. Regression models and life tables (with discussion). J.R. Statist. Soc. B. 34:1972;187-220.
5. De La Rochefordiere, A., Asselain, B., Campana, F., Scholl, S.M., Fenton, J., Vilcoq, J.R., Durand, J., Poillart, P., Magdelenat, H., Fourquet, A., 1993. Age as prognostic factor in premenopausal breast carcimona. Lancet 341, 1039-1043.
6. Hilsenbeck S., Clark G.M., McGuire W.L. Why do so many prognostic factors fail to pan out? Breast Cancer Res. Treatment. 22:1992;197-206.
7. H ø st H., Lund E. Age as prognostic factor in breast cancer. Cancer. 57:1986;2217-2221.
8. Lausen B., Schumacher M. Maximally selected rank statistics. Biometrics. 48:1992;73-85.
9. Lausen B., Schumacher M. Evaluating the effect of optimized cutoff values in the assessment of prognostic factors. Comput. Statist. Data Anal. 21:1996;307-326.
10. Lombard, F., 1987. Rank tests for changepoint problems, Biometrika 74, 615-624.
11. McGuire W.L., Hilsenbeck S., Clark G.M. Optimal mastectomy timing. J. Natl. Cancer Instit. 84:1992;346-348.
12. Marubini E., Mezzanotte G., Boracchi P., Veronesi U. Long-term survival analysis: breast cancer and age at diagnosis. Statist. Med. 9:1990;737-748.
13. Miller R., Siegmund D. Maximally selected chi square statistics. Biometrics. 38:1982;1011-1016.
14. Pettitt A.N. A non-parametric approach to the change-point problem. Appl. Statist. 28:1979;126-135.
15. Pfisterer J., Kommoss F., Sauerbrei W., Menzel D., Kiechle M., Giese E., Hilgarth M., Pfleiderer A. DNA flow cytometry in node positive breast cancer: prognostic value and correlation to morphological and clinical factors. Anal. Quantitative Cytol. Histol. 17:1995;406-412.
16. Ribeiro G.G., Swidell R. The prognosis of breast carcinoma in women aged less than 40 years. Clin. Radiol. 32:1981;231-236.
17. Rutquist L.E., Wallgren A. The influence of age on outcome in breast cancer. Acta Radiol. Oncol. 22:1983;289-294.
18. Schulgen G., Lausen B., Olsen J.H., Schumacher M. Outcome oriented cutpoints in analysis of quantitative exposures. Am. J. Epidem. 140:1994;172-184.
19. Sutherland C.M., Mather F.L. Long-term survival and prognostic factors in breast cancer patients with localized (no skin, muscle, or chest wall attachement) disease with and without positive lymph nodes. Cancer. 57:1986;622-629.
20. Wallgren A., Silfersward C., Hultborn A. A carcimona of the breast cancer in women under 30 years of age: a clinical and Histopathological study of all cases reported as carcimona to the Swedish cancer Registry. 1958 - 1968 Cancer:1977;40.
21. Zahl P.H., Tretli S. Long-term survival of breast cancer in Norway by age and clinical stage. Statist. Med. 16:1997;1435-1449.