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Volumn 65, Issue 2, 2009, Pages 394-404

Regularized estimation for the accelerated failure time model

Author keywords

AFT model; LASSO regularization; Linear programming

Indexed keywords

FORECASTING; REGRESSION ANALYSIS; SAMPLING;

EID: 66949149020     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01074.x     Document Type: Article
Times cited : (87)

References (39)
  • 1
    • 0018668029 scopus 로고
    • Linear regression with censored data
    • DOI 10.2307/2335161
    • Buckley, J. and James, I. (1979). Linear regression with censored data. Biometrika 66, 429 436. (Pubitemid 10218390)
    • (1979) Biometrika , vol.66 , Issue.3 , pp. 429-436
    • Buckley, J.1    James, L.2
  • 3
    • 3242793099 scopus 로고    scopus 로고
    • A note on Buckley-James estimators for censored data
    • Currie, I. (1996). A note on Buckley-James estimators for censored data. Biometrika 83, 912 915.
    • (1996) Biometrika , vol.83 , pp. 912-915
    • Currie, I.1
  • 4
    • 34247259498 scopus 로고    scopus 로고
    • Predicting patient survival from microarray data by accelerated failure time modeling using partial least squares and LASSO
    • and
    • Datta, S., Le-Rademacher, J., and Datta, S. (2007). Predicting patient survival from microarray data by accelerated failure time modeling using partial least squares and LASSO. Biometrics 63, 259 271.
    • (2007) Biometrics , vol.63 , pp. 259-271
    • Datta, S.1    Le-Rademacher, J.2    Datta, S.3
  • 6
    • 1542784498 scopus 로고    scopus 로고
    • Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
    • Fan, J. and Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association 96, 1348 1360. (Pubitemid 33695585)
    • (2001) Journal of the American Statistical Association , vol.96 , Issue.456 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 9
    • 21444446838 scopus 로고    scopus 로고
    • Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data
    • DOI 10.1093/bioinformatics/bti422
    • Gui, J. and Li, H. (2005). Penalized Cox regression analysis in the high-dimensional and low-sample size setting, with applications to microarray gene expression data. Bioinformatics 21, 3001 3008. (Pubitemid 40916425)
    • (2005) Bioinformatics , vol.21 , Issue.13 , pp. 3001-3008
    • Gui, J.1    Li, H.2
  • 11
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for non-orthogonal problem
    • and
    • Hoerl, A. and Kennard, R. (1970). Ridge regression: Biased estimation for non-orthogonal problem. Technometrics 12, 55 67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.1    Kennard, R.2
  • 12
    • 14944352943 scopus 로고    scopus 로고
    • Iterative partial least squares with right-censored data analysis: A comparison to other dimension reduction techniques
    • DOI 10.1111/j.0006-341X.2005.040304.x
    • Huang, J. and Harrington, D. (2005). Iterative partial least squares with right-censored data analysis: A comparison to other dimension reduction techniques. Biometrics 61, 17 24. (Pubitemid 40380960)
    • (2005) Biometrics , vol.61 , Issue.1 , pp. 17-24
    • Huang, J.1    Harrington, D.2
  • 13
    • 33748771184 scopus 로고    scopus 로고
    • Regularized estimation in the accelerated failure time model with high dimensional covariates
    • and
    • Huang, J., Ma, S., and Xie, H. (2006). Regularized estimation in the accelerated failure time model with high dimensional covariates. Biometrics 62, 813 820.
    • (2006) Biometrics , vol.62 , pp. 813-820
    • Huang, J.1    Ma, S.2    Xie, H.3
  • 14
    • 51049096710 scopus 로고    scopus 로고
    • Adaptive LASSO for sparse high-dimensional regression models
    • and. in press.
    • Huang, J., Ma, S., and Zhang, C. (2008). Adaptive LASSO for sparse high-dimensional regression models. Statistica Sinica, in press.
    • (2008) Statistica Sinica
    • Huang, J.1    Ma, S.2    Zhang, C.3
  • 15
    • 3843055562 scopus 로고    scopus 로고
    • Rank-based inference for the accelerated failure time model
    • DOI 10.1093/biomet/90.2.341
    • Jin, Z., Lin, D. Y., and Wei, L. J. (2003). Rank-based inference for the accelerated failure time model. Biometrika 90, 341 353. (Pubitemid 39047162)
    • (2003) Biometrika , vol.90 , Issue.2 , pp. 341-353
    • Jin, Z.1    Lin, D.Y.2    Wei, L.J.3    Ying, Z.4
  • 18
    • 0034287156 scopus 로고    scopus 로고
    • Asymptotics for lasso-type estimators
    • DOI 10.1214/aos/1015957397
    • Knight, K. and Fu, W. (2000). Asymptotics for LASSO-type estimators. Annals of Statistics 28, 1356 1378. (Pubitemid 33244917)
    • (2000) Annals of Statistics , vol.28 , Issue.5 , pp. 1356-1378
    • Knight, K.1    Fu, W.2
  • 19
    • 0001021449 scopus 로고
    • Regression analysis with randomly right-censored data
    • and
    • Koul, H., Susarla, V., and Van Ryzin, J. (1981). Regression analysis with randomly right-censored data. Annals of Statistics 9, 1276 1288.
    • (1981) Annals of Statistics , vol.9 , pp. 1276-1288
    • Koul, H.1    Susarla, V.2    Van Ryzin, J.3
  • 20
    • 34548173203 scopus 로고    scopus 로고
    • Path consistent model selection in additive risk model via Lasso
    • DOI 10.1002/sim.2834
    • Leng, C. and Ma, S. (2007). Path consistent model selection in additive risk model via LASSO. Statistics in Medicine 26, 3753 3770. (Pubitemid 47307747)
    • (2007) Statistics in Medicine , vol.26 , Issue.20 , pp. 3753-3770
    • Leng, C.1    Ma, S.2
  • 21
    • 52349090053 scopus 로고    scopus 로고
    • Censored data regression in high-dimension and low sample size settings for genomic applications
    • In. A. Biswas. S. Datta. J. Fine. and. M. Segal. eds1st edition. Hoboken, New Jersey. Wiley.
    • Li, H. (2008). Censored data regression in high-dimension and low sample size settings for genomic applications. In Statistical Advances in Biomedical Sciences: State of Art and Future Directions, A. Biswas, S. Datta, J. Fine, and M. Segal (eds 1st edition. Hoboken, New Jersey : Wiley.
    • (2008) Statistical Advances in Biomedical Sciences: State of Art and Future Directions
    • Li, H.1
  • 22
    • 34548170943 scopus 로고    scopus 로고
    • Variable selection for proportional odds model
    • DOI 10.1002/sim.2833
    • Lu, W. and Zhang, H. (2007). Variable selection for proportional odds model. Statistics in Medicine 26, 3771 3781. (Pubitemid 47307748)
    • (2007) Statistics in Medicine , vol.26 , Issue.20 , pp. 3771-3781
    • Lu, W.1    Zhang, H.H.2
  • 24
    • 66949130797 scopus 로고
    • Collinearity and optimal restrictions on regression parameters for estimating responses
    • Park, S. (1981). Collinearity and optimal restrictions on regression parameters for estimating responses. Technometrics 23, 289 295.
    • (1981) Technometrics , vol.23 , pp. 289-295
    • Park, S.1
  • 26
    • 0000637305 scopus 로고
    • Estimation in a linear regression model with censored data
    • Ritov, Y. (1990). Estimation in a linear regression model with censored data. Annals of Statistics 18, 303 328.
    • (1990) Annals of Statistics , vol.18 , pp. 303-328
    • Ritov, Y.1
  • 28
    • 0031015557 scopus 로고    scopus 로고
    • The lasso method for variable selection in the cox model
    • DOI 10.1002/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2- 3
    • Tibshirani, R. (1997). The LASSO method for variable selection in the Cox model. Statistics in Medicine 16, 385 395. (Pubitemid 27073009)
    • (1997) Statistics in Medicine , vol.16 , Issue.4 , pp. 385-395
    • Tibshirani, R.1
  • 29
    • 0003271197 scopus 로고    scopus 로고
    • Estimating regression parameters using linear rank tests for censored data
    • Tsiatis, A. (1996). Estimating regression parameters using linear rank tests for censored data. Annals of Statistics 18, 305 328.
    • (1996) Annals of Statistics , vol.18 , pp. 305-328
    • Tsiatis, A.1
  • 32
    • 34547164089 scopus 로고    scopus 로고
    • Robust regression shrinkage and consistent variable selection via the LAD-LASSO
    • and
    • Wang, H., Li, G. and Jiang, G. (2007). Robust regression shrinkage and consistent variable selection via the LAD-LASSO. Journal of Business and Economics Statistics 25, 347 355.
    • (2007) Journal of Business and Economics Statistics , vol.25 , pp. 347-355
    • Wang, H.1    Li, G.2    Jiang, G.3
  • 33
    • 39849109350 scopus 로고    scopus 로고
    • Doubly penalized Buckley-James method for survival data with high-dimensional covariates
    • DOI 10.1111/j.1541-0420.2007.00877.x
    • Wang, S., Nan, B., Zhu, J., and Beer, D. (2008). Doubly penalized Buckley-James method for survival data with high dimensional covariates. Biometrics 64, 132 140. (Pubitemid 351316885)
    • (2008) Biometrics , vol.64 , Issue.1 , pp. 132-140
    • Wang, S.1    Nan, B.2    Zhu, J.3    Beer, D.G.4
  • 34
    • 0027080802 scopus 로고
    • The accelerated failure time model: A useful alternative to the Cox regression model in survival analysis
    • Wei, L. J. (1992). The accelerated failure time model: A useful alternative to the Cox regression model in survival analysis. Statistics in Medicine 11, 1871 1879. (Pubitemid 23015636)
    • (1992) Statistics in Medicine , vol.11 , Issue.14-15 , pp. 1871-1879
    • Wei, L.J.1
  • 35
    • 34548151636 scopus 로고    scopus 로고
    • Adaptive Lasso for Cox's proportional hazards model
    • DOI 10.1093/biomet/asm037
    • Zhang, H. and Lu, W. (2007). Adaptive LASSO for Cox's proportional hazards model. Biometrika 94, 691 703. (Pubitemid 47384259)
    • (2007) Biometrika , vol.94 , Issue.3 , pp. 691-703
    • Zhang, H.H.1    Lu, W.2
  • 36
    • 33645085023 scopus 로고    scopus 로고
    • Application of the time-dependent ROC curves for prognostic accuracy with multiple biomarkers
    • and
    • Zheng, Y., Cai, T., and Feng, Z. (2006). Application of the time-dependent ROC curves for prognostic accuracy with multiple biomarkers. Biometrics 62, 279 287.
    • (2006) Biometrics , vol.62 , pp. 279-287
    • Zheng, Y.1    Cai, T.2    Feng, Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.