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Volumn 22, Issue 17, 2003, Pages 2767-2784

A relative survival regression model using B-spline functions to model non-proportional hazards

Author keywords

B splines; Colon cancer; Non proportional hazards; Relative survival; Survival analysis

Indexed keywords

ADULT; AGED; ANALYTIC METHOD; ARTICLE; CANCER SURVIVAL; COLON CANCER; CONTROLLED STUDY; COVARIANCE; DIAGNOSTIC ACCURACY; FEMALE; HAZARD ASSESSMENT; HUMAN; HYPOTHESIS; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MORTALITY; NONBIOLOGICAL MODEL; POPULATION RESEARCH; PREDICTION; PROCESS MODEL; PROGNOSIS; REGRESSION ANALYSIS; STATISTICAL MODEL; SURVIVAL RATE; TIME;

EID: 0041924828     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1484     Document Type: Article
Times cited : (89)

References (30)
  • 2
    • 0025285232 scopus 로고
    • Relative survival and the estimation of net survival: Elements for further discussion
    • Esteve J, Benhamou E, Croasdale M, Raymond L. Relative survival and the estimation of net survival: elements for further discussion. Statistics in Medicine 1990; 9:529-538.
    • (1990) Statistics in Medicine , vol.9 , pp. 529-538
    • Esteve, J.1    Benhamou, E.2    Croasdale, M.3    Raymond, L.4
  • 3
    • 0026530295 scopus 로고
    • Different multiple regressions models for estimating survival: Use in a population-based series of colorectal cancer
    • Monnet E, Boutron MC, Arveux P, Milan C, Faivre J. Different multiple regressions models for estimating survival: use in a population-based series of colorectal cancer. Journal of Clinical Epidemiology 1992; 45:267-273.
    • (1992) Journal of Clinical Epidemiology , vol.45 , pp. 267-273
    • Monnet, E.1    Boutron, M.C.2    Arveux, P.3    Milan, C.4    Faivre, J.5
  • 5
    • 0042671847 scopus 로고
    • Additive and multiplicative models for the relative survival rates
    • Buckley JD. Additive and multiplicative models for the relative survival rates. Biometrics 1983; 39:941-948.
    • (1983) Biometrics , vol.39 , pp. 941-948
    • Buckley, J.D.1
  • 7
    • 0000258857 scopus 로고    scopus 로고
    • Proportional excess hazards
    • Sasieni PD. Proportional excess hazards. Biometrika 1996; 83:127-141.
    • (1996) Biometrika , vol.83 , pp. 127-141
    • Sasieni, P.D.1
  • 10
    • 0022245463 scopus 로고
    • A global goodness of fit statistic for the proportional hazards model
    • Moreau T, O'Quigley J, Mesbah M. A global goodness of fit statistic for the proportional hazards model. Applied in Statistics 1985; 45:212-218.
    • (1985) Applied in Statistics , vol.45 , pp. 212-218
    • Moreau, T.1    O'Quigley, J.2    Mesbah, M.3
  • 11
    • 0000438323 scopus 로고
    • Nonparametric survival analysis with time-dependent covariate effects: A penalized partial likelihood approach
    • Zucker DM, Karr AF. Nonparametric survival analysis with time-dependent covariate effects: a penalized partial likelihood approach. Annals of Statistics 1990; 18:329-353.
    • (1990) Annals of Statistics , vol.18 , pp. 329-353
    • Zucker, D.M.1    Karr, A.F.2
  • 12
    • 21144472187 scopus 로고
    • Flexible methods for analyzing survival data using splines, with applications to breast cancer prognosis
    • Gray RJ. Flexible methods for analyzing survival data using splines, with applications to breast cancer prognosis. Journal of the American Statistical Association 1992; 87:942-951.
    • (1992) Journal of the American Statistical Association , vol.87 , pp. 942-951
    • Gray, R.J.1
  • 14
    • 0028362674 scopus 로고
    • Assessing time-by-covariate interactions in proportional hazards regression models using cubic spline functions
    • Hess K. Assessing time-by-covariate interactions in proportional hazards regression models using cubic spline functions. Statistics in Medicine 1994; 13:1045-1062.
    • (1994) Statistics in Medicine , vol.13 , pp. 1045-1062
    • Hess, K.1
  • 16
    • 0029586866 scopus 로고
    • Time-dependent effects of fixed covariates in Cox regression
    • Verweij PJ, Houwelingen HC. Time-dependent effects of fixed covariates in Cox regression. Biometrics 1995; 51:1550-1556.
    • (1995) Biometrics , vol.51 , pp. 1550-1556
    • Verweij, P.J.1    Houwelingen, H.C.2
  • 17
    • 0029804687 scopus 로고    scopus 로고
    • Assessing interactions of binary time-dependent covariates with time in Cox proportional hazards regression models using cubic spline functions
    • Heinzl H, Kaider A, Zlabinger G. Assessing interactions of binary time-dependent covariates with time in Cox proportional hazards regression models using cubic spline functions. Statistics in Medicine 1996; 15:2589-2601.
    • (1996) Statistics in Medicine , vol.15 , pp. 2589-2601
    • Heinzl, H.1    Kaider, A.2    Zlabinger, G.3
  • 20
    • 0002457851 scopus 로고
    • Additive splines in statistics
    • Proceedings of the Statistical Computing Section
    • Stone CJ, Koo C. Additive splines in statistics. Proceedings of the Statistical Computing Section 1985; 45-48.
    • (1985) , pp. 45-48
    • Stone, C.J.1    Koo, C.2
  • 22
    • 0042671845 scopus 로고    scopus 로고
    • Statistiques des Causes Médicales de Décès. INSERM
    • Statistiques des Causes Médicales de Décès. INSERM: 1996.
    • (1996)
  • 23
    • 0003641574 scopus 로고
    • A Practical Guide to Splines
    • Springer: New York
    • de Boor C. A Practical Guide to Splines. Springer: New York, 1978.
    • (1978)
    • de Boor, C.1
  • 24
    • 84972507631 scopus 로고
    • Monotone regression splines in action
    • (with discussion)
    • Ramsay JO. Monotone regression splines in action (with discussion). Statistical Science 1988; 3:425-461.
    • (1988) Statistical Science , vol.3 , pp. 425-461
    • Ramsay, J.O.1
  • 25
    • 0024596532 scopus 로고
    • Flexible regression models with cubic splines
    • Durrleman S, Simon R. Flexible regression models with cubic splines. Statistics in Medicine 1989; 8:551-561.
    • (1989) Statistics in Medicine , vol.8 , pp. 551-561
    • Durrleman, S.1    Simon, R.2
  • 26
    • 0031864068 scopus 로고    scopus 로고
    • Should a recurrence be searched for in colonic cancer patients resected for cure? If so, by what means?
    • Lehur PA, Buecher B, Letessier E. Should a recurrence be searched for in colonic cancer patients resected for cure? If so, by what means? Gastroenterology Clinical Biology 1998; 22:S160-167.
    • (1998) Gastroenterology Clinical Biology , vol.22
    • Lehur, P.A.1    Buecher, B.2    Letessier, E.3
  • 29
    • 0043172968 scopus 로고
    • Information theoretic criteria in non-parametric density estimation: Bias and variance in the infinite dimensional case
    • Abrahamowicz M, Ciampi A. Information theoretic criteria in non-parametric density estimation: bias and variance in the infinite dimensional case. Computational Statistics and Data Analysis 1991; 12:239-247.
    • (1991) Computational Statistics and Data Analysis , vol.12 , pp. 239-247
    • Abrahamowicz, M.1    Ciampi, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.