메뉴 건너뛰기




Volumn 13, Issue 5, 2012, Pages 513-523

Adjusting confounders in ranking biomarkers: A model-based roc approach

Author keywords

Confounders; High throughput data; Ranking biomarkers; ROC

Indexed keywords

BIOLOGICAL MARKER;

EID: 84865764948     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbs008     Document Type: Article
Times cited : (19)

References (25)
  • 1
    • 79251545943 scopus 로고    scopus 로고
    • Assessing risk factors as potential screening tests: a simple assessment tool
    • Wald NJ, Morris JK. Assessing risk factors as potential screening tests: a simple assessment tool. Arch Intern Med 2011;171:286-91.
    • (2011) Arch Intern Med , vol.171 , pp. 286-291
    • Wald, N.J.1    Morris, J.K.2
  • 3
    • 78650552869 scopus 로고    scopus 로고
    • Identification of predictive pathways for non-Hodgkin lymphoma prognosis
    • Han X, Li Y, Huang J, et al. Identification of predictive pathways for non-Hodgkin lymphoma prognosis. Cancer Inform 2010;9:281-92.
    • (2010) Cancer Inform , vol.9 , pp. 281-292
    • Han, X.1    Li, Y.2    Huang, J.3
  • 5
    • 0037368548 scopus 로고    scopus 로고
    • Selecting differentially expressed genes from microarray experiments
    • Pepe MS, Longton G, Anderson GL, et al. Selecting differentially expressed genes from microarray experiments. Biometrics 2003;59:133-42.
    • (2003) Biometrics , vol.59 , pp. 133-142
    • Pepe, M.S.1    Longton, G.2    Anderson, G.L.3
  • 6
    • 79551625666 scopus 로고    scopus 로고
    • Ranking prognosis markers in cancer genomic studies
    • Ma S, Song X. Ranking prognosis markers in cancer genomic studies. Brief Bioinform 2011;12:33-40.
    • (2011) Brief Bioinform , vol.12 , pp. 33-40
    • Ma, S.1    Song, X.2
  • 7
    • 34548463550 scopus 로고    scopus 로고
    • Combining multiple markers for classification using ROC
    • Ma S, Huang J. Combining multiple markers for classification using ROC. Biometrics 2007;63:751-7.
    • (2007) Biometrics , vol.63 , pp. 751-757
    • Ma, S.1    Huang, J.2
  • 9
    • 78650168263 scopus 로고    scopus 로고
    • Sure independence screening in generalized linear models with NP-dimensionality
    • Fan J, Song R. Sure independence screening in generalized linear models with NP-dimensionality. Ann Stat 2010;38: 3567-604.
    • (2010) Ann Stat , vol.38 , pp. 3567-3604
    • Fan, J.1    Song, R.2
  • 10
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the Lasso
    • Tibshirani R. Regression shrinkage and selection via the Lasso. JRoy Stat SocSer B 1996;58:267-88.
    • (1996) JRoy Stat SocSer B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 11
    • 33846114377 scopus 로고    scopus 로고
    • The adaptive Lasso and its oracle properties
    • Zou H. The adaptive Lasso and its oracle properties. JAm Stat Assoc 2006;101:1418-29.
    • (2006) JAm Stat Assoc , vol.101 , pp. 1418-1429
    • Zou, H.1
  • 12
    • 77956398819 scopus 로고    scopus 로고
    • The iterated Lasso for high-dimensional logistic regression
    • Department of Statistics and Actuarial Science, University of Iowa
    • Huang J, Ma S, Zhang CH. The iterated Lasso for high-dimensional logistic regression. Technical Report 392. Department of Statistics and Actuarial Science, University of Iowa, 2008.
    • (2008) Technical Report 392
    • Huang, J.1    Ma, S.2    Zhang, C.H.3
  • 13
    • 77955858059 scopus 로고    scopus 로고
    • Penalized Bregman divergence for large-dimensional regression and classification
    • Zhang CM, Yuan J, Chai Y. Penalized Bregman divergence for large-dimensional regression and classification. Biometrika 2010;97(3):551-66.
    • (2010) Biometrika , vol.97 , Issue.3 , pp. 551-566
    • Zhang, C.M.1    Yuan, J.2    Chai, Y.3
  • 14
    • 34548151636 scopus 로고    scopus 로고
    • Adaptive lasso for Cox's proportional hazards model
    • Zhang HH, Lu W. Adaptive lasso for Cox's proportional hazards model. Biometrika 2007;94:691-703.
    • (2007) Biometrika , vol.94 , pp. 691-703
    • Zhang, H.H.1    Lu, W.2
  • 15
    • 77951891336 scopus 로고    scopus 로고
    • Penalized variable selection with U-estimates
    • Song X, Ma S. Penalized variable selection with U-estimates. JNonparamStat 2010;22(4):499-515.
    • (2010) JNonparamStat , vol.22 , Issue.4 , pp. 499-515
    • Song, X.1    Ma, S.2
  • 16
    • 0033936550 scopus 로고    scopus 로고
    • Time-dependent ROC curves for censored survival data and a diagnostic marker
    • Heagerty P, Lumley T, Pepe M. Time-dependent ROC curves for censored survival data and a diagnostic marker. Biometrics 2000;56:337-44.
    • (2000) Biometrics , vol.56 , pp. 337-344
    • Heagerty, P.1    Lumley, T.2    Pepe, M.3
  • 17
    • 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.
    • (2005) Biometrics , vol.61 , pp. 92-105
    • Heagerty, P.J.1    Zheng, Y.2
  • 18
    • 79955584260 scopus 로고    scopus 로고
    • Time-dependent ROC analysis under diverse censoring patterns
    • Li J, Ma S. Time-dependent ROC analysis under diverse censoring patterns. StatMed 2011;30:1266-77.
    • (2011) StatMed , vol.30 , pp. 1266-1277
    • Li, J.1    Ma, S.2
  • 19
    • 84855983910 scopus 로고    scopus 로고
    • Variance estimation using refitted cross-validation in ultrahigh dimensional regression
    • Fan J, Guo S, Hao N. Variance estimation using refitted cross-validation in ultrahigh dimensional regression. J Roy Stat Soc 2012;74:37-65.
    • (2012) J Roy Stat Soc , vol.74 , pp. 37-65
    • Fan, J.1    Guo, S.2    Hao, N.3
  • 20
    • 19944372078 scopus 로고    scopus 로고
    • Generating survival times to simulate Cox proportional hazards models
    • Bender R, Augustin T, Blettner M. Generating survival times to simulate Cox proportional hazards models. Stat Med 2005;24:1713-23.
    • (2005) Stat Med , vol.24 , pp. 1713-1723
    • Bender, R.1    Augustin, T.2    Blettner, M.3
  • 21
    • 18244409687 scopus 로고    scopus 로고
    • Gene expression profiling predicts clinical outcome of breast cancer
    • Van't Veer LJ, Dai H, van de Vijver MJ, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 2002;415:530-6.
    • (2002) Nature , vol.415 , pp. 530-536
    • Van't Veer, L.J.1    Dai, H.2    van de Vijver, M.J.3
  • 22
    • 8644252736 scopus 로고    scopus 로고
    • Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells
    • Dave SS, Wright G, Tan B, et al. Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. N Engl J Med 2004;351: 2159-69.
    • (2004) N Engl J Med , vol.351 , pp. 2159-2169
    • Dave, S.S.1    Wright, G.2    Tan, B.3
  • 23
    • 77955067099 scopus 로고    scopus 로고
    • Weighted area under the receiver operating characteristic curve and its application to gene selection
    • Li J, Fan JP. Weighted area under the receiver operating characteristic curve and its application to gene selection. JRoy Stat Soc Ser CAppl Stat 2010;59(4):673-92.
    • (2010) JRoy Stat Soc Ser CAppl Stat , vol.59 , Issue.4 , pp. 673-692
    • Li, J.1    Fan, J.P.2
  • 24
    • 50949096321 scopus 로고    scopus 로고
    • The sparsity and bias of the Lasso selection in high-dimensional linear regression
    • Zhang C, Huang J. The sparsity and bias of the Lasso selection in high-dimensional linear regression. Ann Stat 2008;36:1567-94.
    • (2008) Ann Stat , vol.36 , pp. 1567-1594
    • Zhang, C.1    Huang, J.2
  • 25
    • 0000265348 scopus 로고
    • The limiting distribution of the maximum rank correlation estimator
    • Sherman RP. The limiting distribution of the maximum rank correlation estimator. Econometrica 1993;61:123-37.
    • (1993) Econometrica , vol.61 , pp. 123-137
    • Sherman, R.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.