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Volumn 9, Issue 4, 2008, Pages 658-667

Boosting method for nonlinear transformation models with censored survival data

Author keywords

Boosting; Censored survival data; Importance sampling; Marginal likelihood; Nonlinear transformation models; Smoothing spline

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; HUMAN; KAPLAN MEIER METHOD; LARGE CELL LYMPHOMA; NONLINEAR SYSTEM; NONPARAMETRIC TEST; PROPORTIONAL HAZARDS MODEL; STATISTICAL MODEL; STATISTICS; SURVIVAL;

EID: 52449121990     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxn005     Document Type: Article
Times cited : (22)

References (32)
  • 1
    • 0001646484 scopus 로고
    • Cox's regression model for counting processes: A large sample study
    • ANDERSEN, P. K. AND GILL, R. D. (1982). Cox's regression model for counting processes: a large sample study. Annals of Statistics 10, 1100-1120.
    • (1982) Annals of Statistics , vol.10 , pp. 1100-1120
    • ANDERSEN, P.K.1    GILL, R.D.2
  • 2
    • 0020961129 scopus 로고
    • Analysis of survival data by the proportional odds model
    • BENNETT, S. (1983). Analysis of survival data by the proportional odds model. Statistics in Medicine 2, 273-277.
    • (1983) Statistics in Medicine , vol.2 , pp. 273-277
    • BENNETT, S.1
  • 4
    • 0000275022 scopus 로고    scopus 로고
    • Prediction games and arcing algorithms
    • BREIMAN, L. (1999). Prediction games and arcing algorithms. Neural Computation 11, 1493-1517.
    • (1999) Neural Computation , vol.11 , pp. 1493-1517
    • BREIMAN, L.1
  • 5
    • 52449116740 scopus 로고    scopus 로고
    • BÜHLMANN, P. (2003). Boosting methods: why they can be useful for high-dimensional data. In: Hornik, K. and others (editors), Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003).
    • BÜHLMANN, P. (2003). Boosting methods: why they can be useful for high-dimensional data. In: Hornik, K. and others (editors), Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003).
  • 7
    • 16344368222 scopus 로고    scopus 로고
    • Semiparametric of transformation models with censored data
    • CHEN, K., JIN, Z. AND YING, Z. (2002). Semiparametric of transformation models with censored data. Biometrika 89, 659-668.
    • (2002) Biometrika , vol.89 , pp. 659-668
    • CHEN, K.1    JIN, Z.2    YING, Z.3
  • 8
    • 24944498545 scopus 로고
    • Analysis of transformation models with censored data
    • CHENG, S. C., WEI, L. J. AND YING, Z. (1995). Analysis of transformation models with censored data. Biometrika 87, 867-878.
    • (1995) Biometrika , vol.87 , pp. 867-878
    • CHENG, S.C.1    WEI, L.J.2    YING, Z.3
  • 9
    • 0002537776 scopus 로고
    • Multivariate generalizations of the proportional hazards model (with discussion)
    • CLAYTON, D. AND CUZICK, J. (1985). Multivariate generalizations of the proportional hazards model (with discussion). Journal of the Royal Statistical Society, Series A 148, 82-117.
    • (1985) Journal of the Royal Statistical Society, Series A , vol.148 , pp. 82-117
    • CLAYTON, D.1    CUZICK, J.2
  • 11
    • 0016794660 scopus 로고
    • Partial likelihood
    • COX, D. R. (1975). Partial likelihood. Biometrika 62, 269-276.
    • (1975) Biometrika , vol.62 , pp. 269-276
    • COX, D.R.1
  • 13
    • 0009908771 scopus 로고    scopus 로고
    • On the linear transformation model for censored data
    • FINE, J., YING, Z. AND WEI, L. J. (1998). On the linear transformation model for censored data. Biometrika 85, 980-986.
    • (1998) Biometrika , vol.85 , pp. 980-986
    • FINE, J.1    YING, Z.2    WEI, L.J.3
  • 14
    • 58149321460 scopus 로고
    • Boosting a weak learning algorithm by majority
    • FREUND, Y. (1995). Boosting a weak learning algorithm by majority. Information and Computation 121, 256-285.
    • (1995) Information and Computation , vol.121 , pp. 256-285
    • FREUND, Y.1
  • 15
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • FREUND, Y. AND SCHAPIRE, R. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55, 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • FREUND, Y.1    SCHAPIRE, R.2
  • 16
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • FRIEDMAN, J. H. (2001). Greedy function approximation: a gradient boosting machine. Annals of Statistics 29, 1189-1232.
    • (2001) Annals of Statistics , vol.29 , pp. 1189-1232
    • FRIEDMAN, J.H.1
  • 17
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • FRIEDMAN, J. H., HASTIE, T. AND TIBSHIRANI, R. (2000). Additive logistic regression: a statistical view of boosting. Annals of Statistics 28, 337-407.
    • (2000) Annals of Statistics , vol.28 , pp. 337-407
    • FRIEDMAN, J.H.1    HASTIE, T.2    TIBSHIRANI, R.3
  • 18
    • 27844480535 scopus 로고    scopus 로고
    • A baseline-free procedure for transformation models under interval censorship
    • GU, M., SUN, L. AND ZUO, G. (2005). A baseline-free procedure for transformation models under interval censorship. Lifetime Data Analysis 11, 473-488.
    • (2005) Lifetime Data Analysis , vol.11 , pp. 473-488
    • GU, M.1    SUN, L.2    ZUO, G.3
  • 21
    • 21744450667 scopus 로고    scopus 로고
    • A marginal likelihood approach to estimation in frailty models
    • LAM, K. F. AND KUK, Y. C. (1997). A marginal likelihood approach to estimation in frailty models. Journal of the American Statistical Association 92, 985-990.
    • (1997) Journal of the American Statistical Association , vol.92 , pp. 985-990
    • LAM, K.F.1    KUK, Y.C.2
  • 22
    • 0035293623 scopus 로고    scopus 로고
    • Marginal likelihood estimation for proportional odds models with right censored data
    • LAM, K. F. AND LEUNG, T. L. (2001). Marginal likelihood estimation for proportional odds models with right censored data. Lifetime Data Analysis 7, 39-54.
    • (2001) Lifetime Data Analysis , vol.7 , pp. 39-54
    • LAM, K.F.1    LEUNG, T.L.2
  • 24
    • 19544378196 scopus 로고    scopus 로고
    • Boosting proportional hazards models using smoothing spline, with application to high-dimensional microarray data
    • LI, H. AND LUAN, Y. (2005). Boosting proportional hazards models using smoothing spline, with application to high-dimensional microarray data. Bioinformatics 21, 2403-2409.
    • (2005) Bioinformatics , vol.21 , pp. 2403-2409
    • LI, H.1    LUAN, Y.2
  • 25
    • 21744440602 scopus 로고    scopus 로고
    • MURPHY, S. A., ROSSINI, A. J. AND VAN DER VAART, A. W. (1997). Maximum likelihood estimation in the proportional odds model. Journal of the American Statistical Association 92, 968-976.
    • MURPHY, S. A., ROSSINI, A. J. AND VAN DER VAART, A. W. (1997). Maximum likelihood estimation in the proportional odds model. Journal of the American Statistical Association 92, 968-976.
  • 26
    • 0000113261 scopus 로고
    • Inference for the linear model using a likelihood based on ranks
    • PETTITT, A. N. (1982). Inference for the linear model using a likelihood based on ranks. Journal of the Royal Statistical Society, Series B 44, 234-243.
    • (1982) Journal of the Royal Statistical Society, Series B , vol.44 , pp. 234-243
    • PETTITT, A.N.1
  • 27
    • 0000819073 scopus 로고
    • Proportional odds model for survival data and estimates using ranks
    • PETTITT, A. N. (1984). Proportional odds model for survival data and estimates using ranks. Applied Statistics 33, 169-175.
    • (1984) Applied Statistics , vol.33 , pp. 169-175
    • PETTITT, A.N.1
  • 30
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • SCHAPIRE, R. (1990). The strength of weak learnability. Machine Learning 5, 197-227.
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • SCHAPIRE, R.1
  • 31
  • 32
    • 33847320728 scopus 로고    scopus 로고
    • Profile information matrix for nonlinear transformation models
    • TSODIKOV, A. AND GARIBOTTI, G. (2007). Profile information matrix for nonlinear transformation models. Lifetime Data Analysis 13, 139-159.
    • (2007) Lifetime Data Analysis , vol.13 , pp. 139-159
    • TSODIKOV, A.1    GARIBOTTI, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.