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Volumn 85, Issue 1, 2015, Pages 62-76

Automatic model selection for high-dimensional survival analysis

Author keywords

algorithm configuration; feature selection; high dimensional data; machine learning; model selection; parameter tuning; racing; survival analysis

Indexed keywords


EID: 84908227300     PISSN: 00949655     EISSN: 15635163     Source Type: Journal    
DOI: 10.1080/00949655.2014.929131     Document Type: Article
Times cited : (46)

References (39)
  • 1
    • 84942484786 scopus 로고
    • Ridge regression: biased estimation for nonorthogonal problems
    • Hoerl A, Kennard R. Ridge regression: biased estimation for nonorthogonal problems. Technometrics. 1970;12:55–67. doi: 10.1080/00401706.1970.10488634
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.1    Kennard, R.2
  • 2
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani R. Regression shrinkage and selection via the lasso. J R Stat Soc Ser B Methodol. 1996;58:267–288.
    • (1996) J R Stat Soc Ser B Methodol , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 3
    • 39449093646 scopus 로고    scopus 로고
    • Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
    • Binder H, Schumacher M. Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models. BMC Bioinformatics. 2008;9(1):14. doi: 10.1186/1471-2105-9-14
    • (2008) BMC Bioinformatics , vol.9 , Issue.1 , pp. 14
    • Binder, H.1    Schumacher, M.2
  • 6
    • 80051855151 scopus 로고    scopus 로고
    • The irace package, iterated race for automatic algorithm configuration, TR/IRIDIA/
    • López-Ibáñez M, Dubois-Lacoste J, Stützle T, Birattari M. The irace package, iterated race for automatic algorithm configuration, TR/IRIDIA/y2011-004, IRIDIA, Université Libre de Bruxelles, Belgium; 2011.
    • López-Ibáñez, M.1    Dubois-Lacoste, J.2    Stützle, T.3    Birattari, M.4
  • 7
    • 84868554032 scopus 로고    scopus 로고
    • Sequential model-based optimization for general algorithm configuration
    • Coello-Coello CA, (ed), Berlin Heidelberg: Springer
    • Hutter F, Hoos HH, Leyton-Brown K. Sequential model-based optimization for general algorithm configuration. In: Coello-Coello CA, editor, Learning and intelligent optimization. Berlin Heidelberg: Springer; 2011, p. 507–523.
    • (2011) Learning and intelligent optimization , pp. 507-523
    • Hutter, F.1    Hoos, H.H.2    Leyton-Brown, K.3
  • 8
    • 85018371540 scopus 로고    scopus 로고
    • Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
    • Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
    • Thornton C, Hutter F, Hoos HH, Leyton-Brown K. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms. In: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining; 2013. p. 847–855.
    • (2013) , pp. 847-855
    • Thornton, C.1    Hutter, F.2    Hoos, H.H.3    Leyton-Brown, K.4
  • 10
    • 15044357936 scopus 로고    scopus 로고
    • Survival model predictive accuracy and ROC curves
    • Heagerty PJ, Zheng Y. Survival model predictive accuracy and ROC curves. Biometrics. 2005;61:92–105. doi: 10.1111/j.0006-341X.2005.030814.x
    • (2005) Biometrics , vol.61 , pp. 92-105
    • Heagerty, P.J.1    Zheng, Y.2
  • 11
    • 0000336139 scopus 로고
    • Regression models and life-tables
    • Cox D. Regression models and life-tables. J R Stat Soc Ser B Methodol. 1972;34:187–220.
    • (1972) J R Stat Soc Ser B Methodol , vol.34 , pp. 187-220
    • Cox, D.1
  • 12
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Zou H, Hastie T. Regularization and variable selection via the elastic net. J R Stat Soc Ser B Statist Methodol. 2005;67:301–320. doi: 10.1111/j.1467-9868.2005.00503.x
    • (2005) J R Stat Soc Ser B Statist Methodol , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 13
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: a statistical view of boosting
    • Friedman J, Hastie T, Tibshirani R. Additive logistic regression: a statistical view of boosting. Ann Statist. 2000;28:337–407. doi: 10.1214/aos/1016218223
    • (2000) Ann Statist , vol.28 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 14
    • 41549141939 scopus 로고    scopus 로고
    • Boosting algorithms: regularization, prediction and model fitting
    • Bühlmann P, Hothorn T. Boosting algorithms: regularization, prediction and model fitting. Statist Sci. 2007;22: 477–505. doi: 10.1214/07-STS242
    • (2007) Statist Sci , vol.22 , pp. 477-505
    • Bühlmann, P.1    Hothorn, T.2
  • 16
    • 63549089131 scopus 로고    scopus 로고
    • Boosting for high-dimensional time-to-event data with competing risks
    • Binder H, Allignol A, Schumacher M, Beyersmann J. Boosting for high-dimensional time-to-event data with competing risks. Bioinformatics. 2009;25:890–896. doi: 10.1093/bioinformatics/btp088
    • (2009) Bioinformatics , vol.25 , pp. 890-896
    • Binder, H.1    Allignol, A.2    Schumacher, M.3    Beyersmann, J.4
  • 17
    • 85030101531 scopus 로고    scopus 로고
    • CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risks
    • Binder H. CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risks. R package version 1.4; 2013
    • (2013) R package version , vol.1 , pp. 4
    • Binder, H.1
  • 18
    • 9844227496 scopus 로고
    • Chi-square tests with one degree of freedom; extensions of the mantel-haenszel procedure
    • Mantel N. Chi-square tests with one degree of freedom; extensions of the mantel-haenszel procedure. J Amer Statist Assoc. 1963;58:690–700.
    • (1963) J Amer Statist Assoc , vol.58 , pp. 690-700
    • Mantel, N.1
  • 19
    • 41949115461 scopus 로고    scopus 로고
    • Random survival forests for R
    • Ishwaran H, Kogalur U. Random survival forests for R. R News. 2007;7:25–31.
    • (2007) R News , vol.7 , pp. 25-31
    • Ishwaran, H.1    Kogalur, U.2
  • 21
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Saeys Y, Inza IN, Larrañaga P. A review of feature selection techniques in bioinformatics. Bioinformatics. 2007;23:2507–2517. doi: 10.1093/bioinformatics/btm344
    • (2007) Bioinformatics , vol.23 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.N.2    Larrañaga, P.3
  • 23
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy
    • Peng H, Long F, Ding C. Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell. 2005;27:1226–1238. doi: 10.1109/TPAMI.2005.159
    • (2005) IEEE Trans Pattern Anal Mach Intell , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 24
    • 0037076272 scopus 로고    scopus 로고
    • Diagnosis of multiple cancer types by shrunken centroids of gene expression
    • Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci USA. 2002;99:6567–6572. doi: 10.1073/pnas.082099299
    • (2002) Proc Natl Acad Sci USA , vol.99 , pp. 6567-6572
    • Tibshirani, R.1    Hastie, T.2    Narasimhan, B.3    Chu, G.4
  • 26
    • 14644421108 scopus 로고    scopus 로고
    • A racing algorithm for configuring metaheuristics
    • Proceedings of the genetic and evolutionary computation conference, GECCO ’02, San Francisco, CA: Morgan Kaufmann Publishers Inc
    • Birattari M, Stützle T, Paquete L, Varrentrapp K. A racing algorithm for configuring metaheuristics. In: Proceedings of the genetic and evolutionary computation conference, GECCO ’02; San Francisco, CA: Morgan Kaufmann Publishers Inc.; 2002. p. 11–18.
    • (2002) , pp. 11-18
    • Birattari, M.1    Stützle, T.2    Paquete, L.3    Varrentrapp, K.4
  • 28
    • 0036081355 scopus 로고    scopus 로고
    • Gene expression omnibus: NCBI gene expression and hybridization array data repository
    • Edgar R, Domrachev M, Lash AE. Gene expression omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 2002;30:207–210. doi: 10.1093/nar/30.1.207
    • (2002) Nucleic Acids Res , vol.30 , pp. 207-210
    • Edgar, R.1    Domrachev, M.2    Lash, A.E.3
  • 31
    • 77951294020 scopus 로고    scopus 로고
    • Resampling strategies for model assessment and selection
    • US: Springer
    • Simon R. Resampling strategies for model assessment and selection. In: Fundamentals of data mining in genomics and proteomics. US: Springer; 2007. p. 173–186.
    • (2007) Fundamentals of data mining in genomics and proteomics , pp. 173-186
    • Simon, R.1
  • 32
    • 84860796007 scopus 로고    scopus 로고
    • Resampling methods for meta-model validation with recommendations for evolutionary computation
    • Bischl B, Mersmann O, Trautmann H, Weihs C. Resampling methods for meta-model validation with recommendations for evolutionary computation. Evol Comput. 2012;20:249–275. doi: 10.1162/EVCO_a_00069
    • (2012) Evol Comput , vol.20 , pp. 249-275
    • Bischl, B.1    Mersmann, O.2    Trautmann, H.3    Weihs, C.4
  • 33
    • 84883216665 scopus 로고    scopus 로고
    • A package for survival analysis in S
    • Therneau TM. A package for survival analysis in S. R package version 2.37-4; 2013
    • (2013) R package version , vol.2 , pp. 34-37
    • Therneau, T.M.1
  • 34
    • 0003570192 scopus 로고    scopus 로고
    • Modeling survival data: extending the cox model
    • New York: Springer
    • Therneau TM,d Grambsch PM. Modeling survival data: extending the cox model. New York: Springer; 2000.
    • (2000)
    • Therneau, T.M.1    d Grambsch, P.M.2
  • 35
    • 79952934063 scopus 로고    scopus 로고
    • Regularization paths for Cox's proportional hazards model via coordinate descent
    • Simon N, Friedman J, Hastie T, Tibshirani R. Regularization paths for Cox's proportional hazards model via coordinate descent. J Statist Softw. 2011;39:1–13.
    • (2011) J Statist Softw , vol.39 , pp. 1-13
    • Simon, N.1    Friedman, J.2    Hastie, T.3    Tibshirani, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.