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Volumn 52, Issue 1-3, 1998, Pages 227-237

Time-dependence of hazard ratios for prognostic factors in primary breast cancer

Author keywords

Breast cancer; Cox models; Nonproportional hazards; Prognostic factors

Indexed keywords

ESTROGEN RECEPTOR; PROTEIN P53;

EID: 0032443067     PISSN: 01676806     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1006133418245     Document Type: Review
Times cited : (215)

References (25)
  • 1
    • 0017700706 scopus 로고
    • Estrogen receptor as an independent prognostic factor for early recurrence in breast cancer
    • Knight WA III, Livingston RB, Gregory EJ, McGuire WL: Estrogen receptor as an independent prognostic factor for early recurrence in breast cancer. Cancer Res 37:4669-4671, 1977
    • (1977) Cancer Res , vol.37 , pp. 4669-4671
    • Knight W.A. III1    Livingston, R.B.2    Gregory, E.J.3    McGuire, W.L.4
  • 4
    • 0000336139 scopus 로고
    • Regression models and life-tables (with discussion)
    • Cox DR: Regression models and life-tables (with discussion). J R Statist Soc B 34:187-200, 1972
    • (1972) J R Statist Soc B , vol.34 , pp. 187-200
    • Cox, D.R.1
  • 5
    • 21144472187 scopus 로고
    • Flexible methods for analyzing survival data using splines, with application to breast cancer prognosis
    • Gray RJ: Flexible methods for analyzing survival data using splines, with application to breast cancer prognosis. J Am Statist Assoc 87:942-951, 1992
    • (1992) J Am Statist Assoc , vol.87 , pp. 942-951
    • Gray, R.J.1
  • 6
    • 0027995401 scopus 로고
    • Spline-based tests in survival analysis
    • Gray RJ: Spline-based tests in survival analysis. Biometrics 50:640-652, 1994
    • (1994) Biometrics , vol.50 , pp. 640-652
    • Gray, R.J.1
  • 7
    • 0024601059 scopus 로고
    • Prediction of relapse or survival in patients with node-negative breast cancer by DNA flow cytometry
    • Clark GM, Dressler LG, Owens MA, Pounds G, Oldaker T, McGuire WL: Prediction of relapse or survival in patients with node-negative breast cancer by DNA flow cytometry. N Engl J Med 320:627-633, 1989
    • (1989) N Engl J Med , vol.320 , pp. 627-633
    • Clark, G.M.1    Dressler, L.G.2    Owens, M.A.3    Pounds, G.4    Oldaker, T.5    McGuire, W.L.6
  • 8
    • 0017352666 scopus 로고
    • Evaluation of estrogen receptor assays in human breast cancer tissue
    • McGuire WL, De La Garza M, Chamness GC: Evaluation of estrogen receptor assays in human breast cancer tissue. Cancer Res 37:637-639, 1977
    • (1977) Cancer Res , vol.37 , pp. 637-639
    • McGuire, W.L.1    De La Garza, M.2    Chamness, G.C.3
  • 9
    • 0018769826 scopus 로고
    • Measurement of progesterone receptor in human breast cancer biopsies
    • Powell B, Garola RE, Chamness GC, McGuire WL: Measurement of progesterone receptor in human breast cancer biopsies. Cancer Res 39:1678-1682, 1979
    • (1979) Cancer Res , vol.39 , pp. 1678-1682
    • Powell, B.1    Garola, R.E.2    Chamness, G.C.3    McGuire, W.L.4
  • 10
    • 0023868698 scopus 로고
    • DNA flow cytometry and prognostic factors in 1331 frozen breast cancer specimens
    • Dressler LG, Seamer LC, Owens MA, Clark GM, McGuire WL: DNA flow cytometry and prognostic factors in 1331 frozen breast cancer specimens. Cancer 61:420-427, 1988
    • (1988) Cancer , vol.61 , pp. 420-427
    • Dressler, L.G.1    Seamer, L.C.2    Owens, M.A.3    Clark, G.M.4    McGuire, W.L.5
  • 13
    • 0027192090 scopus 로고
    • Immunohistochemistry on histological sections from small (50 mg) samples of pulverized breast cancer
    • Allred DC, Clark GM, Tandon AK, McGuire WL: Immunohistochemistry on histological sections from small (50 mg) samples of pulverized breast cancer. J Histotech 16:117-120, 1993
    • (1993) J Histotech , vol.16 , pp. 117-120
    • Allred, D.C.1    Clark, G.M.2    Tandon, A.K.3    McGuire, W.L.4
  • 14
    • 70449647008 scopus 로고
    • Proportional hazards tests and diagnostics based on weighted residuals
    • Grambsch PM, Therneau TM: Proportional hazards tests and diagnostics based on weighted residuals. Biometrika 81:515-526, 1994
    • (1994) Biometrika , vol.81 , pp. 515-526
    • Grambsch, P.M.1    Therneau, T.M.2
  • 15
    • 0018822038 scopus 로고
    • Chi-squared goodness of fit tests for the proportional hazards regression model
    • Schoenfeld D: Chi-squared goodness of fit tests for the proportional hazards regression model. Biometrika 67:145-153, 1980
    • (1980) Biometrika , vol.67 , pp. 145-153
    • Schoenfeld, D.1
  • 17
    • 0029118366 scopus 로고
    • Graphical methods for assessing violations of the proportional hazards assumptions in Cox regression
    • Hess KR: Graphical methods for assessing violations of the proportional hazards assumptions in Cox regression. Stat Med 14:1707-1723, 1995
    • (1995) Stat Med , vol.14 , pp. 1707-1723
    • Hess, K.R.1
  • 18
    • 0345191630 scopus 로고
    • Mayo Foundation for Education and Research, Rochester MN
    • Therneau T: SURVIVAL4.1 available through Stat-Lib (http://lib.stat.cmu.edu/). Mayo Foundation for Education and Research, Rochester MN, 1994
    • (1994) SURVIVAL4.1
    • Therneau, T.1
  • 20
    • 0027534004 scopus 로고
    • The risk of determining risk with multivariable models
    • Concato J, Feinstein AR, Holford TR: The risk of determining risk with multivariable models. Ann Int Med 118:201-210, 1993
    • (1993) Ann Int Med , vol.118 , pp. 201-210
    • Concato, J.1    Feinstein, A.R.2    Holford, T.R.3
  • 21
    • 0003000728 scopus 로고
    • Regression models and non-proportional hazards in the analysis of breast cancer survival
    • Gore SM, Pocock SJ, Kerr GR: Regression models and non-proportional hazards in the analysis of breast cancer survival. Appl Statist 33:176-195, 1984
    • (1984) Appl Statist , vol.33 , pp. 176-195
    • Gore, S.M.1    Pocock, S.J.2    Kerr, G.R.3
  • 22
    • 0008015573 scopus 로고    scopus 로고
    • Change in prognostic impact of uPA and PAI-1 in node-negative breast cancer patients during the follow-up
    • Ulm K, Jänicke F, Pache L, Dannegger F: Change in prognostic impact of uPA and PAI-1 in node-negative breast cancer patients during the follow-up. Breast Cancer Res Treat 37(S):59, 1996
    • (1996) Breast Cancer Res Treat , vol.37 , Issue.S , pp. 59
    • Ulm, K.1    Jänicke, F.2    Pache, L.3    Dannegger, F.4
  • 23
    • 0027080802 scopus 로고
    • The accelerated failure time model: A useful alternative to the Cox regression model in survival analysis
    • Wei LJ: The accelerated failure time model: a useful alternative to the Cox regression model in survival analysis. Stat Med 11:1871-1879, 1992
    • (1992) Stat Med , vol.11 , pp. 1871-1879
    • Wei, L.J.1
  • 24
    • 0000222540 scopus 로고
    • Log-logistic regression models for survival data
    • Bennett S: Log-logistic regression models for survival data. Appl Statist 32:165-171, 1983
    • (1983) Appl Statist , vol.32 , pp. 165-171
    • Bennett, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.