메뉴 건너뛰기




Volumn 52, Issue 1, 2010, Pages 138-158

Competing Risks and Time-Dependent Covariates

Author keywords

Competing risks; Cumulative incidence function; Internal time dependent covariates; Multi state models; Semi parametric regression models.

Indexed keywords

RISK ASSESSMENT; RISK PERCEPTION;

EID: 77952567328     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.200900076     Document Type: Article
Times cited : (116)

References (18)
  • 1
    • 0001602163 scopus 로고
    • An empirical transition matrix for nonhomogeneous Markov chains based on censored observations
    • Aalen, O. O. and Johansen, S. (1978). An empirical transition matrix for nonhomogeneous Markov chains based on censored observations. Scandinavian Journal of Statistics 5, 141-150.
    • (1978) Scandinavian Journal of Statistics , vol.5 , pp. 141-150
    • Aalen, O.O.1    Johansen, S.2
  • 2
    • 0002353413 scopus 로고
    • Time-dependent covariates and Markov processes
    • Moolgavkar, S. H. and Prentice, R. L. (Eds. ). Wiley, New York
    • Andersen, P. K. (1986). Time-dependent covariates and Markov processes. In: Moolgavkar, S. H. and Prentice, R. L. (Eds.), Modern Statistical Methods in Chronic Disease Epidemiology, Wiley, New York, pp. 82-103.
    • (1986) Modern Statistical Methods in Chronic Disease Epidemiology , pp. 82-103
    • Andersen, P.K.1
  • 5
    • 0000191931 scopus 로고
    • An empirical transition matrix for nonhomogeneous Markov chains based on censored observations
    • Andersen, P. K., Hansen, L. S. and Keiding, N. (1991). An empirical transition matrix for nonhomogeneous Markov chains based on censored observations. Scandinavian Journal of Statistics 18, 153-167.
    • (1991) Scandinavian Journal of Statistics , vol.18 , pp. 153-167
    • Andersen, P.K.1    Hansen, L.S.2    Keiding, N.3
  • 6
    • 52449124196 scopus 로고    scopus 로고
    • Time-dependent covariates in the proportional subdistribution hazards model for competing risks
    • Beyersmann, J. and Schumacher, M. (2008). Time-dependent covariates in the proportional subdistribution hazards model for competing risks. Biostatistics 9, 765-776.
    • (2008) Biostatistics , vol.9 , pp. 765-776
    • Beyersmann, J.1    Schumacher, M.2
  • 8
    • 1542532754 scopus 로고    scopus 로고
    • A proportional hazards model for the subdistribution of a competing risk
    • Fine, J. P. and Gray, R. J. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of the American Statistical Association 94, 496-509.
    • (1999) Journal of the American Statistical Association , vol.94 , pp. 496-509
    • Fine, J.P.1    Gray, R.J.2
  • 9
    • 0000120995 scopus 로고
    • A class of K-sample tests for comparing the cumulative incidence of a competing risk
    • Gray, R. J. (1988). A class of K-sample tests for comparing the cumulative incidence of a competing risk. The Annals of Statistics 16, 1141-1154.
    • (1988) The Annals of Statistics , vol.16 , pp. 1141-1154
    • Gray, R.J.1
  • 11
    • 33847094543 scopus 로고    scopus 로고
    • Misspecified regression model for the subdistribution hazard of a competing risk
    • Latouche, A., Boisson, V., Chevret, S. and Porcher, R. (2007). Misspecified regression model for the subdistribution hazard of a competing risk. Statistics in Medicine 26, 965-974.
    • (2007) Statistics in Medicine , vol.26 , pp. 965-974
    • Latouche, A.1    Boisson, V.2    Chevret, S.3    Porcher, R.4
  • 12
    • 29844452656 scopus 로고    scopus 로고
    • A note on including time-dependent covariate in regression model for competing risks data
    • Latouche, A., Porcher, R. and Chevret, S. (2005). A note on including time-dependent covariate in regression model for competing risks data. Biometrical Journal 47, 807-814.
    • (2005) Biometrical Journal , vol.47 , pp. 807-814
    • Latouche, A.1    Porcher, R.2    Chevret, S.3
  • 14
    • 84863304598 scopus 로고    scopus 로고
    • R Development Core Team. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0
    • R Development Core Team. (2009). A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
    • (2009) A Language and Environment for Statistical Computing
  • 15
    • 85163229704 scopus 로고
    • Recovery of information and adjustment for dependent censoring using surrogate markers
    • Jewell N., Dietz, K. and Farewell, V. (Eds. )
    • Robins, J. M. and Rotnitzky, A. (1992). Recovery of information and adjustment for dependent censoring using surrogate markers. In: Jewell N., Dietz, K. and Farewell, V. (Eds.), AIDS Epidemiology-Methodological Issues, Birkhauser, Boston, pp. 82-103.
    • (1992) AIDS Epidemiology-Methodological Issues, Birkhauser, Boston , pp. 82-103
    • Robins, J.M.1    Rotnitzky, A.2
  • 17
    • 21644437156 scopus 로고    scopus 로고
    • Additive hazards Markov regression models illustrated with bone marrow transplant data
    • Shu, Y. and Klein, J. P. (2005). Additive hazards Markov regression models illustrated with bone marrow transplant data. Biometrika 92, 283-301.
    • (2005) Biometrika , vol.92 , pp. 283-301
    • Shu, Y.1    Klein, J.P.2
  • 18
    • 33847345021 scopus 로고    scopus 로고
    • Dynamic prediction by landmarking in event history analysis
    • van Houwelingen, H. C. (2007). Dynamic prediction by landmarking in event history analysis. Scandinavian Journal of Statistics 34, 70-85.
    • (2007) Scandinavian Journal of Statistics , vol.34 , pp. 70-85
    • van Houwelingen, H.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.