메뉴 건너뛰기




Volumn 19, Issue 1, 2010, Pages 29-51

Erratum: Survival analysis with high-dimensional covariates (Statistical Methods in Medical Research (2010) 19 (29-51) DOI: 10.1177/0962280209105024));Survival analysis with high-dimensional covariates

Author keywords

[No Author keywords available]

Indexed keywords

BIOSTATISTICS; CLUSTER ANALYSIS; GENE EXPRESSION; GENETIC ASSOCIATION; GENOMICS; INDEPENDENT VARIABLE; KAPLAN MEIER METHOD; LASSOED PRINCIPAL COMPONENT METHOD; NONLINEAR SYSTEM; OUTCOME VARIABLE; PRINCIPAL COMPONENT ANALYSIS; PROPORTIONAL HAZARDS MODEL; REVIEW; SHRINKAGE BASED METHOD; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STEPWISE SELECTION; SURVIVAL; SURVIVAL TIME; UNIVARIATE ANALYSIS;

EID: 76649133296     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1177/0962280210366728     Document Type: Erratum
Times cited : (145)

References (63)
  • 1
    • 32144434202 scopus 로고    scopus 로고
    • Gene expression profiling predicts survival in conventional renal cell carcinoma
    • Zhao H., Tibshirani R., Brooks J. Gene expression profiling predicts survival in conventional renal cell carcinoma. PLOS Medicine 2006 ; 3: e13.
    • (2006) PLOS Medicine , vol.3 , pp. 13
    • Zhao, H.1    Tibshirani, R.2    Brooks, J.3
  • 2
    • 13044304179 scopus 로고    scopus 로고
    • Distinctive gene expression patterns in human mammary epiphelial cells and breast cancers
    • Perou C., Jeffrey S., van de Rijn M., et al. Distinctive gene expression patterns in human mammary epiphelial cells and breast cancers. Proceedings of the National Academy of Sciences 1999 ; 96: 9212-9217.
    • (1999) Proceedings of the National Academy of Sciences , vol.96 , pp. 9212-9217
    • Perou, C.1    Jeffrey, S.2    Van De Rijn, M.3
  • 3
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    • Golub T., Slonim D., Tamayo P., et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999 ; 286: 531-536.
    • (1999) Science , vol.286 , pp. 531-536
    • Golub, T.1    Slonim, D.2    Tamayo, P.3
  • 4
    • 0035845511 scopus 로고    scopus 로고
    • Gene expression patterns of breast carcinomas distinguish tumour subclasses with clinical implications
    • Sorlie T., Perou C., Tibshirani R., et al. Gene expression patterns of breast carcinomas distinguish tumour subclasses with clinical implications. Proceedings of the National Academy of Sciences 2001 ; 98: 10969-10974.
    • (2001) Proceedings of the National Academy of Sciences , vol.98 , pp. 10969-10974
    • Sorlie, T.1    Perou, C.2    Tibshirani, R.3
  • 7
    • 0347201147 scopus 로고    scopus 로고
    • Multiclass cancer diagnosis using tumour gene expression signature
    • Ramaswamy S., Tamayo P., Rifkin R., Mukherjee S., Yeang C., Angelo M., et al. Multiclass cancer diagnosis using tumour gene expression signature. PNAS 2002 ; 98: 15149-15154.
    • (2002) PNAS , vol.98 , pp. 15149-15154
    • Ramaswamy, S.1    Tamayo, P.2    Rifkin, R.3    Mukherjee, S.4    Yeang, C.5    Angelo, M.6
  • 8
    • 29244448340 scopus 로고    scopus 로고
    • Microarray data analysis: From disarray to consolidation and consensus
    • Allison D., Cui X., Page G., Sabripour M. Microarray data analysis: from disarray to consolidation and consensus. Nature Reviews Genetics 2006 ; 7: 55-65.
    • (2006) Nature Reviews Genetics , vol.7 , pp. 55-65
    • Allison, D.1    Cui, X.2    Page, G.3    Sabripour, M.4
  • 9
    • 13144306071 scopus 로고    scopus 로고
    • Genome-wide association studies for common diseases and complex traits
    • DOI 10.1038/nrg1521
    • Hirschhorn J., Daly M. Genome-wide association studies for common diseases and complex traits. Nature Reviews Genetics 2005 ; 6: 95-108. (Pubitemid 40179532)
    • (2005) Nature Reviews Genetics , vol.6 , Issue.2 , pp. 95-108
    • Hirschhorn, J.N.1    Daly, M.J.2
  • 10
    • 33845340501 scopus 로고    scopus 로고
    • A genome-wide association study identifies IL23R as an inflammatory bowel disease gene
    • Duerr R., Taylor K., Brant S., Rioux J., Silverberg M., Daly M., et al. A genome-wide association study identifies IL23R as an inflammatory bowel disease gene. Science 2006 ; 314: 1461-1463.
    • (2006) Science , vol.314 , pp. 1461-1463
    • Duerr, R.1    Taylor, K.2    Brant, S.3    Rioux, J.4    Silverberg, M.5    Daly, M.6
  • 11
    • 34247554965 scopus 로고    scopus 로고
    • Genome-wide association study identifies new susceptibility loci for crohn disease and implicates autophagy in disease pathogenesis
    • Rioux J., Xavier R., Taylor K., Silverberg M., Goyette P., Huett A., et al. Genome-wide association study identifies new susceptibility loci for crohn disease and implicates autophagy in disease pathogenesis. Nature Genetics 2007 ; 39: 596-604.
    • (2007) Nature Genetics , vol.39 , pp. 596-604
    • Rioux, J.1    Xavier, R.2    Taylor, K.3    Silverberg, M.4    Goyette, P.5    Huett, A.6
  • 13
    • 33847176604 scopus 로고    scopus 로고
    • A genome-wide association study identifies novel risk loci for type 2 diabetes
    • Sladek R., Rocheleau G., Rung J., Dina C., Shen L., Serre D., et al. A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 2007 ; 445: 881-885.
    • (2007) Nature , vol.445 , pp. 881-885
    • Sladek, R.1    Rocheleau, G.2    Rung, J.3    Dina, C.4    Shen, L.5    Serre, D.6
  • 14
    • 33748804424 scopus 로고    scopus 로고
    • A tutorial on statistical methods for population association studies
    • Balding D. A tutorial on statistical methods for population association studies. Nature Reviews Genetics 2006 ; 7: 781-791.
    • (2006) Nature Reviews Genetics , vol.7 , pp. 781-791
    • Balding, D.1
  • 15
    • 0043203327 scopus 로고    scopus 로고
    • Multiple hypothesis testing in microarray experiments
    • DOI 10.1214/ss/1056397487
    • Dudoit S., Shaffer JP, Boldrick JC Multiple hypothesis testing in microarray experiments. Statistical Science 2003 ; 18: 71-103. (Pubitemid 41461823)
    • (2003) Statistical Science , vol.18 , Issue.1 , pp. 71-103
    • Dudoit, S.1    Shaffer, J.P.2    Boldrick, J.C.3
  • 19
    • 76649139307 scopus 로고    scopus 로고
    • Testing significance of features by lassoed principal components
    • Witten D., Tibshirani R. Testing significance of features by lassoed principal components. Annals of Applied Statistics 2008 ; 2: 986-1012.
    • (2008) Annals of Applied Statistics , vol.2 , pp. 986-1012
    • Witten, D.1    Tibshirani, R.2
  • 20
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: series B 1995 ; 85: 289-300.
    • (1995) Journal of the Royal Statistical Society: Series B , vol.85 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 23
    • 0037276175 scopus 로고    scopus 로고
    • Statistical test for differential expression in cdna microarray experiments
    • Cui X., Churchill GA Statistical test for differential expression in cdna microarray experiments. Genome Biology 2003 ; 4: 210.
    • (2003) Genome Biology , vol.4 , pp. 210
    • Cui, X.1    Churchill, G.A.2
  • 24
    • 24144445705 scopus 로고    scopus 로고
    • Improved statistical tests for differential gene expression by shrinking variance component estimates
    • Cui X., Hwang JTG, Qiu J., Blades NJ, Churchill GA Improved statistical tests for differential gene expression by shrinking variance component estimates. Biostatistics 2005 ; 6: 59-75.
    • (2005) Biostatistics , vol.6 , pp. 59-75
    • Cui, X.1    Hwang, J.T.G.2    Qiu, J.3    Blades, N.J.4    Churchill, G.A.5
  • 25
    • 34147123145 scopus 로고    scopus 로고
    • The optimal discovery procedure for large-scale significance testing with applications to comparative microarray experiments
    • Storey JD, Dai JY, Leek JT The optimal discovery procedure for large-scale significance testing with applications to comparative microarray experiments. Biostatistics 2007 ; 8: 414-432.
    • (2007) Biostatistics , vol.8 , pp. 414-432
    • Storey, J.D.1    Dai, J.Y.2    Leek, J.T.3
  • 26
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl A.E., Kennard R. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics 1970 ; 12: 55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.2
  • 29
    • 0031015557 scopus 로고    scopus 로고
    • The lasso method for variable selection in the cox model
    • Tibshirani R. The lasso method for variable selection in the cox model. Statistics in Medicine 1997 ; 16: 385-395.
    • (1997) Statistics in Medicine , vol.16 , pp. 385-395
    • Tibshirani, R.1
  • 30
    • 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
    • Gui J., Li H. Penalized cox regression analysis in the high-dimensional and low-sample size settings with applications to microarray gene expression data. Bioinformatics 2005 ; 21: 3001-3008.
    • (2005) Bioinformatics , vol.21 , pp. 3001-3008
    • Gui, J.1    Li, H.2
  • 31
  • 34
    • 34548275795 scopus 로고    scopus 로고
    • The Dantzig selector: Statistical estimation when p is much larger than n
    • Candes E., Tao T. The Dantzig selector: statistical estimation when p is much larger than n. The Annals of Statistics 2008 ; 35: 2313-2351.
    • (2008) The Annals of Statistics , vol.35 , pp. 2313-2351
    • Candes, E.1    Tao, T.2
  • 36
    • 66849143711 scopus 로고    scopus 로고
    • Covariance-regularized regression and classification for high-dimensional problems
    • Witten D., Tibshirani R. Covariance-regularized regression and classification for high-dimensional problems. Journal of the Royal Statistical Society: Series B, 2009 ; 71 (3). 615-636.
    • (2009) Journal of the Royal Statistical Society: Series B , vol.71 , Issue.3 , pp. 615-636
    • Witten, D.1    Tibshirani, R.2
  • 38
    • 0034598746 scopus 로고    scopus 로고
    • Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
    • Alizadeh A., Eisen M., Davis RE, et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 2000 ; 403: 503-511.
    • (2000) Nature , vol.403 , pp. 503-511
    • Alizadeh, A.1    Eisen, M.2    Davis, R.E.3
  • 40
    • 0000957593 scopus 로고
    • Principal components regression in exploratory statistical research
    • Massy W. Principal components regression in exploratory statistical research. Journal of the American Statistical Association 1965 ; 60: 234-236.
    • (1965) Journal of the American Statistical Association , vol.60 , pp. 234-236
    • Massy, W.1
  • 41
    • 19344375744 scopus 로고    scopus 로고
    • Semi-supervised methods to predict patient survival from gene expression data
    • Bair E., Tibshirani R. Semi-supervised methods to predict patient survival from gene expression data. PLOS Biology 2004 ; 2: 511-522.
    • (2004) PLOS Biology , vol.2 , pp. 511-522
    • Bair, E.1    Tibshirani, R.2
  • 43
    • 12344271032 scopus 로고    scopus 로고
    • Dimension reduction methods for microarrays with application to censored survival data
    • Li L., Li H. Dimension reduction methods for microarrays with application to censored survival data. Bioinformatics 2004 ; 20: 3406-3412.
    • (2004) Bioinformatics , vol.20 , pp. 3406-3412
    • Li, L.1    Li, H.2
  • 44
    • 84945116550 scopus 로고
    • Sliced inverse regression for dimension reduction (with discussion)
    • Li K-C. Sliced inverse regression for dimension reduction (with discussion). Journal of the American Statistical Association 1991 ; 86: 316-342.
    • (1991) Journal of the American Statistical Association , vol.86 , pp. 316-342
    • Li, K.-C.1
  • 45
    • 0033243852 scopus 로고    scopus 로고
    • Dimension reduction for censored regression data
    • Li K-C., Wang J., Chen C. Dimension reduction for censored regression data. Annals of Statistics 1999 ; 27: 1-23.
    • (1999) Annals of Statistics , vol.27 , pp. 1-23
    • Li, K.-C.1    Wang, J.2    Chen, C.3
  • 46
    • 33846515112 scopus 로고    scopus 로고
    • Partial least squares: A versatile tool for the analysis of high-dimensional genomic data
    • Boulesteix A., Strimmer K. Partial least squares: a versatile tool for the analysis of high-dimensional genomic data. Briefings in Bioinformatics 2006 ; 8: 32-44.
    • (2006) Briefings in Bioinformatics , vol.8 , pp. 32-44
    • Boulesteix, A.1    Strimmer, K.2
  • 47
    • 0036956225 scopus 로고    scopus 로고
    • Partial least squares proportional hazard regression for application to DNA microarrays
    • Nguyen D., Rocke D. Partial least squares proportional hazard regression for application to DNA microarrays. Bioinformatics 2002 ; 18: 1625-1632.
    • (2002) Bioinformatics , vol.18 , pp. 1625-1632
    • Nguyen, D.1    Rocke, D.2
  • 48
    • 0242634343 scopus 로고    scopus 로고
    • Linking expression data with patient survival times using partial least squares
    • Park P., Tian L., Kohane I. Linking expression data with patient survival times using partial least squares. Bioinformatics 2002 ; 18: S120 - S127.
    • (2002) Bioinformatics , vol.18
    • Park, P.1    Tian, L.2    Kohane, I.3
  • 49
    • 12744266814 scopus 로고    scopus 로고
    • Partial cox regression analysis for high-dimensional microarray gene expression data
    • Li H., Gui J. Partial cox regression analysis for high-dimensional microarray gene expression data. Bioinformatics 2004 ; 20: i208 - i215.
    • (2004) Bioinformatics , vol.20
    • Li, H.1    Gui, J.2
  • 50
    • 19544378196 scopus 로고    scopus 로고
    • Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data
    • Li H., Luan Y. Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data. Bioinformatics 2005 ; 21: 2403-2409.
    • (2005) Bioinformatics , vol.21 , pp. 2403-2409
    • Li, H.1    Luan, Y.2
  • 51
    • 33645092633 scopus 로고    scopus 로고
    • Additive risk models for survival data with high-dimensional covariates
    • Ma S., Kosorok M., Fine J. Additive risk models for survival data with high-dimensional covariates. Biometrics 2006 ; 62: 202-210.
    • (2006) Biometrics , vol.62 , pp. 202-210
    • Ma, S.1    Kosorok, M.2    Fine, J.3
  • 53
    • 0033619170 scopus 로고    scopus 로고
    • Assessment and comparison of prognostic classification schemes for survival data
    • Graf E., Schmoor C., Sauerbrei W., Schumacher M. Assessment and comparison of prognostic classification schemes for survival data. Statistics in Medicine 1999 ; 18: 2529-2545.
    • (1999) Statistics in Medicine , vol.18 , pp. 2529-2545
    • Graf, E.1    Schmoor, C.2    Sauerbrei, W.3    Schumacher, M.4
  • 54
    • 34548565944 scopus 로고    scopus 로고
    • Predicting survival from microarray data - A comparative study
    • Bovelstad H., Nygard S., Storvold H., et al. Predicting survival from microarray data - a comparative study. Bioinformatics 2007 ; 23: 2080-2087.
    • (2007) Bioinformatics , vol.23 , pp. 2080-2087
    • Bovelstad, H.1    Nygard, S.2    Storvold, H.3
  • 57
    • 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: 337-344.
    • (2000) Biometrics , vol.56 , pp. 337-344
    • Heagerty, P.1    Lumley, T.2    Pepe, M.3
  • 60
    • 33748631068 scopus 로고    scopus 로고
    • Cross-validated Cox regression on microarray gene expressiond data
    • van Houwelingen H., Bruinsma T., Hart A., et al. Cross-validated Cox regression on microarray gene expressiond data. Statistics in Medicine 2006 ; 25: 3201-3216.
    • (2006) Statistics in Medicine , vol.25 , pp. 3201-3216
    • Van Houwelingen, H.1    Bruinsma, T.2    Hart, A.3
  • 61
    • 33645581993 scopus 로고    scopus 로고
    • Microarray gene expression data with linked survival phenotypes: Diffuse large B-cell lymphoma revisited
    • Segal M. Microarray gene expression data with linked survival phenotypes: diffuse large B-cell lymphoma revisited. Biostatistics 2006 ; 7: 268-285.
    • (2006) Biostatistics , vol.7 , pp. 268-285
    • Segal, M.1
  • 62
    • 34547863496 scopus 로고    scopus 로고
    • Assessment of survival prediction models based on microarray data
    • Schumacher M., Binder H., Gerds T. Assessment of survival prediction models based on microarray data. Bioinformatics 2007 ; 23: 1768-1774.
    • (2007) Bioinformatics , vol.23 , pp. 1768-1774
    • Schumacher, M.1    Binder, H.2    Gerds, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.