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Volumn 23, Issue 14, 2007, Pages 1768-1774

Assessment of survival prediction models based on microarray data

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL ERROR; ARTICLE; B CELL LYMPHOMA; BIOSTATISTICS; BOOTSTRAPPING; GENE EXPRESSION; HUMAN; METHODOLOGY; MICROARRAY ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; SAMPLING ERROR; SURVIVAL RATE;

EID: 34547863496     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btm232     Document Type: Article
Times cited : (92)

References (32)
  • 1
    • 0003572485 scopus 로고
    • Statistical Models Based on Counting Processes
    • Springer, New York
    • Andersen,P.K. et al. (1993) Statistical Models Based on Counting Processes. Springer Series in Statistics, Springer, New York.
    • (1993) Springer Series in Statistics
    • Andersen, P.K.1
  • 2
    • 1342330535 scopus 로고    scopus 로고
    • Is cross-validation valid for small-sample microarray classification?
    • Braga-Neto,U.M. and Dougherty,E.R. (2004) Is cross-validation valid for small-sample microarray classification? Bioinformatics, 20, 374-380.
    • (2004) Bioinformatics , vol.20 , pp. 374-380
    • Braga-Neto, U.M.1    Dougherty, E.R.2
  • 3
    • 0003010182 scopus 로고
    • Verification of forecasts expressed in terms of probability
    • Brier,G.W. (1950) Verification of forecasts expressed in terms of probability. Mon. Weather Rev., 78, 1-3.
    • (1950) Mon. Weather Rev , vol.78 , pp. 1-3
    • Brier, G.W.1
  • 4
    • 0000336139 scopus 로고
    • Regression models and life tables
    • Cox,D.R. (1972) Regression models and life tables. J. R. Stat. Soc. B., 34, 187-220.
    • (1972) J. R. Stat. Soc. B , vol.34 , pp. 187-220
    • Cox, D.R.1
  • 5
    • 84950461478 scopus 로고
    • Estimating the error rate of a prediction rule: Improvement on cross-validation
    • Efron,B. (1983) Estimating the error rate of a prediction rule: improvement on cross-validation. J. Am. Stat. Assoc., 78, 316-331.
    • (1983) J. Am. Stat. Assoc , vol.78 , pp. 316-331
    • Efron, B.1
  • 6
    • 0031536511 scopus 로고    scopus 로고
    • Improvements on cross-validation: The 0.632+ bootstrap method
    • Efron,B. and Tibshirani,R. (1997) Improvements on cross-validation: The 0.632+ bootstrap method. J. Am. Stat. Assoc., 92, 548-560.
    • (1997) J. Am. Stat. Assoc , vol.92 , pp. 548-560
    • Efron, B.1    Tibshirani, R.2
  • 7
    • 3242708140 scopus 로고    scopus 로고
    • Least angle regression
    • Efron,B. et al. (2004) Least angle regression. Ann. Stat., 32, 407-499.
    • (2004) Ann. Stat , vol.32 , pp. 407-499
    • Efron, B.1
  • 8
    • 18744413287 scopus 로고    scopus 로고
    • Estimating misclassification error with small samples via bootstrap cross-validation
    • Fu,W.J. et al. (2005) Estimating misclassification error with small samples via bootstrap cross-validation. Bioinformatics, 21, 1979-1986.
    • (2005) Bioinformatics , vol.21 , pp. 1979-1986
    • Fu, W.J.1
  • 9
    • 21344479527 scopus 로고
    • An interpretation of partial least squares
    • Garthwaite,P. (1994) An interpretation of partial least squares. J. Am. Stat. Assoc., 89, 122-427.
    • (1994) J. Am. Stat. Assoc , vol.89 , pp. 122-427
    • Garthwaite, P.1
  • 10
    • 1642405726 scopus 로고    scopus 로고
    • On functional misspecification of covariates in the cox regression model
    • Gerds,T.A. and Schumacher,M. (2001) On functional misspecification of covariates in the cox regression model. Biometrika, 88, 572-580.
    • (2001) Biometrika , vol.88 , pp. 572-580
    • Gerds, T.A.1    Schumacher, M.2
  • 11
    • 33846223169 scopus 로고    scopus 로고
    • Consistent estimation of the expected brier score in general survival models with right-censored event times
    • Gerds,T.A. and Schumacher,M. (2006) Consistent estimation of the expected brier score in general survival models with right-censored event times. Biom. J., 48, 1029-1040.
    • (2006) Biom. J , vol.48 , pp. 1029-1040
    • Gerds, T.A.1    Schumacher, M.2
  • 12
    • 34547892291 scopus 로고    scopus 로고
    • Efron-type measures of prediction error for survival analysis
    • doi: 10.1111/ j.1541-0420.2007.00832
    • Gerds,T.A. and Schumacher,M. (2007) Efron-type measures of prediction error for survival analysis. Biometrics, doi: 10.1111/ j.1541-0420.2007.00832.
    • (2007) Biometrics
    • Gerds, T.A.1    Schumacher, M.2
  • 13
    • 0033619170 scopus 로고    scopus 로고
    • Assessment and comparison of prognostic classification schemes for survival data
    • Graf,E. et al. (1999) Assessment and comparison of prognostic classification schemes for survival data. Stat. Med., 18, 2529-2545.
    • (1999) Stat. Med , vol.18 , pp. 2529-2545
    • Graf, E.1
  • 14
    • 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. and Li,H. (2005) Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. Bioinformatics, 21, 3001-3008.
    • (2005) Bioinformatics , vol.21 , pp. 3001-3008
    • Gui, J.1    Li, H.2
  • 15
    • 15044357936 scopus 로고    scopus 로고
    • Survival model predictive accuracy and roc curves
    • Heagerty,P. and Zheng,Y. (2005) Survival model predictive accuracy and roc curves. Biometrics, 61, 92-105.
    • (2005) Biometrics , vol.61 , pp. 92-105
    • Heagerty, P.1    Zheng, Y.2
  • 16
    • 0033936550 scopus 로고    scopus 로고
    • Time-dependent roc curves for censored survival data and a diagnostic marker
    • Heagerty,P. et al. (2000) Time-dependent roc curves for censored survival data and a diagnostic marker. Biometrics, 56, 337-344.
    • (2000) Biometrics , vol.56 , pp. 337-344
    • Heagerty, P.1
  • 17
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl,A. and Kennard,R. (1970) Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12, 55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.1    Kennard, R.2
  • 18
    • 0037083323 scopus 로고    scopus 로고
    • Statistical prediction models, artificial neural networks, and the sophism 'I am a patient, not a statistic'
    • Kattan,M. (2002) Statistical prediction models, artificial neural networks, and the sophism 'I am a patient, not a statistic'. J. Clin. Oncol., 20, 885-887.
    • (2002) J. Clin. Oncol , vol.20 , pp. 885-887
    • Kattan, M.1
  • 19
    • 0000039640 scopus 로고
    • Explained residual variation, explained risk, and goodness of fit
    • Korn,E.L. and Simon,R. (1991) Explained residual variation, explained risk, and goodness of fit. Am. Stat., 45, 201-206.
    • (1991) Am. Stat , vol.45 , pp. 201-206
    • Korn, E.L.1    Simon, R.2
  • 20
    • 12744266814 scopus 로고    scopus 로고
    • Partial Cox regression analysis for high-dimensional microarray gene expression data
    • Li,H. and Gui,J. (2004) Partial Cox regression analysis for high-dimensional microarray gene expression data. Bioinformatics, 20 (Suppl. 1), 1208-1215.
    • (2004) Bioinformatics , vol.20 , Issue.SUPPL. 1 , pp. 1208-1215
    • Li, H.1    Gui, J.2
  • 21
    • 25144494760 scopus 로고    scopus 로고
    • Prediction error estimation: A comparison of resampling methods
    • Molinaro,A.M. et al. (2005) Prediction error estimation: A comparison of resampling methods. Bioinformatics, 21, 3301-3307.
    • (2005) Bioinformatics , vol.21 , pp. 3301-3307
    • Molinaro, A.M.1
  • 22
    • 85142127977 scopus 로고    scopus 로고
    • 1 regularization path algorithm for generalized linear models. Technical report, Department of Statistics, Stanford University.
    • 1 regularization path algorithm for generalized linear models. Technical report, Department of Statistics, Stanford University.
  • 23
    • 0037142053 scopus 로고    scopus 로고
    • The use of molecular profiling to predict survival after chemotherapy for diffuse large-b-cell lymphoma
    • Rosenwald,A. et al. (2002) The use of molecular profiling to predict survival after chemotherapy for diffuse large-b-cell lymphoma. N. Engl. J. Med., 346, 1937-1947.
    • (2002) N. Engl. J. Med , vol.346 , pp. 1937-1947
    • Rosenwald, A.1
  • 24
    • 85123816329 scopus 로고    scopus 로고
    • Prognostic factor studies
    • Crowley,J. and Pauler Ankerst,D, eds, 2nd edn. Chapman & Hall, pp
    • Schumacher,M. et al. (2006) Prognostic factor studies. In Crowley,J. and Pauler Ankerst,D. (eds) Handbook of Statistics in Clinical Oncology. 2nd edn. Chapman & Hall, pp. 289-333.
    • (2006) Handbook of Statistics in Clinical Oncology , pp. 289-333
    • Schumacher, M.1
  • 25
    • 33645581993 scopus 로고    scopus 로고
    • Microarray gene expression data with linked survival phenotypes: Diffuse large-B-cell lymphoma revisited
    • Segal,M.R. (2006) Microarray gene expression data with linked survival phenotypes: Diffuse large-B-cell lymphoma revisited. Biostatistics 7, 268-285.
    • (2006) Biostatistics , vol.7 , pp. 268-285
    • Segal, M.R.1
  • 26
    • 33644688970 scopus 로고    scopus 로고
    • Roadmap for developing and validating therapeutically relevant genomic classifiers
    • Simon,R. (2005) Roadmap for developing and validating therapeutically relevant genomic classifiers. J. Clin. Oncol., 23, 7332-7341.
    • (2005) J. Clin. Oncol , vol.23 , pp. 7332-7341
    • Simon, R.1
  • 27
    • 0037245343 scopus 로고    scopus 로고
    • Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification
    • Simon,R. et al. (2003) Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. J. Natl Cancer Inst. 95, 14-18.
    • (2003) J. Natl Cancer Inst , vol.95 , pp. 14-18
    • Simon, R.1
  • 28
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani,R. (1996) Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B., 58, 267-288.
    • (1996) J. R. Stat. Soc. Ser. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 30
    • 33748631068 scopus 로고    scopus 로고
    • Cross-validated cox regression on micro-array gene expression data
    • Van Houwelingen,H.C. et al. (2006) Cross-validated cox regression on micro-array gene expression data. Stat. Med., 25, 3201-3216.
    • (2006) Stat. Med , vol.25 , pp. 3201-3216
    • Van Houwelingen, H.C.1
  • 31
    • 26844497970 scopus 로고    scopus 로고
    • A comparison of nonparametric error rate estimation methods in classification problems
    • Wehberg,S. and Schumacher,M. (2004) A comparison of nonparametric error rate estimation methods in classification problems. Biome. J., 46, 35-47.
    • (2004) Biome. J , vol.46 , pp. 35-47
    • Wehberg, S.1    Schumacher, M.2
  • 32
    • 0001098205 scopus 로고
    • Estimation of principal components and related models by iterative least squares
    • Krishaiaah,P, ed, New Academic Press, New York, pp
    • Wold,H. (1966) Estimation of principal components and related models by iterative least squares. In Krishaiaah,P. (ed.) Multivariate Analysis New Academic Press, New York, pp. 391-420.
    • (1966) Multivariate Analysis , pp. 391-420
    • Wold, H.1


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