메뉴 건너뛰기




Volumn 53, Issue 1, 2011, Pages 88-112

Quantifying the predictive accuracy of time-to-event models in the presence of competing risks

Author keywords

Brier score; IPCW; Prediction error; Quadratic loss

Indexed keywords

ERROR STATISTICS; RISK ASSESSMENT;

EID: 78851470956     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201000073     Document Type: Article
Times cited : (59)

References (55)
  • 1
    • 0001602163 scopus 로고
    • An empirical transition matrix for non-homogeneous Markov chains based on censored observations
    • Aalen, O. and Johansen, S. (1978). An empirical transition matrix for non-homogeneous Markov chains based on censored observations. Scandinavian Journal of Statistics 5, 141-150.
    • (1978) Scandinavian Journal of Statistics , vol.5 , pp. 141-150
    • Aalen, O.1    Johansen, S.2
  • 2
  • 3
    • 77952567608 scopus 로고    scopus 로고
    • A note on variance estimation of the Aalen-Johansen estimator of the cumulative incidence function in competing risks, with a view towards left-truncated data
    • Allignol, A., Schumacher, M. and Beyersmann, J. (2010). A note on variance estimation of the Aalen-Johansen estimator of the cumulative incidence function in competing risks, with a view towards left-truncated data. Biometrical Journal 52, 126-137.
    • (2010) Biometrical Journal , vol.52 , pp. 126-137
    • Allignol, A.1    Schumacher, M.2    Beyersmann, J.3
  • 5
    • 55949106942 scopus 로고    scopus 로고
    • Inference for outcome probabilities in multi-state models
    • Andersen, P. and Perme, M. (2008). Inference for outcome probabilities in multi-state models. Lifetime Data Analysis 14, 405-431.
    • (2008) Lifetime Data Analysis , vol.14 , pp. 405-431
    • Andersen, P.1    Perme, M.2
  • 6
    • 0037297928 scopus 로고    scopus 로고
    • Time-to-event modeling of competing risks with intervening states in transplantation
    • Bailey, R., Lin, M. and Krakauer, H. (2003). Time-to-event modeling of competing risks with intervening states in transplantation. American Journal of Transplantation 3, 192-202.
    • (2003) American Journal of Transplantation , vol.3 , pp. 192-202
    • Bailey, R.1    Lin, M.2    Krakauer, H.3
  • 7
    • 38849093192 scopus 로고    scopus 로고
    • A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards
    • Beyersmann, J., Dettenkofer, M., Bertz, H. and Schumacher, M. (2007). A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards. Statistics in Medicine 26, 5360-5369.
    • (2007) Statistics in Medicine , vol.26 , pp. 5360-5369
    • Beyersmann, J.1    Dettenkofer, M.2    Bertz, H.3    Schumacher, M.4
  • 9
    • 33947151482 scopus 로고    scopus 로고
    • Letter to the editor: comment on 'Latouche (2007): Misspecified regression model for the subdistribution hazard of a competing risk'
    • Beyersmann, J. and Schumacher, M. (2007). Letter to the editor: comment on 'Latouche et al. (2007): Misspecified regression model for the subdistribution hazard of a competing risk'. Statistics in Medicine 26, 1649-1651.
    • (2007) Statistics in Medicine , vol.26 , pp. 1649-1651
    • Beyersmann, J.1    Schumacher, M.2
  • 10
    • 0003962285 scopus 로고
    • Efficient and Adaptive Estimation for Semiparametric Models
    • The Johns Hopkins University Press, Baltimore.
    • Bickel, P., Klaassen, C., Ritov, Y. and Wellner, J. (1993). Efficient and Adaptive Estimation for Semiparametric Models. The Johns Hopkins University Press, Baltimore.
    • (1993)
    • Bickel, P.1    Klaassen, C.2    Ritov, Y.3    Wellner, J.4
  • 11
    • 63549089131 scopus 로고    scopus 로고
    • Boosting for high-dimensional time-to-event data with competing risks
    • Binder, H., Allignol, A., Schumacher, M. and Beyersmann, J. (2009). Boosting for high-dimensional time-to-event data with competing risks. Bioinformatics 25, 890-896.
    • (2009) Bioinformatics , vol.25 , pp. 890-896
    • Binder, H.1    Allignol, A.2    Schumacher, M.3    Beyersmann, J.4
  • 12
    • 0003010182 scopus 로고
    • Verification of forecasts expressed in terms of probability
    • Brier, G. W. (1950). Verification of forecasts expressed in terms of probability. Monthly Weather Review 78, 1-3.
    • (1950) Monthly Weather Review , vol.78 , pp. 1-3
    • Brier, G.W.1
  • 13
    • 0031898029 scopus 로고    scopus 로고
    • Prediction of cumulative incidence function under the proportional hazards model
    • Cheng, S., Fine, J. and Wei, L. (1998). Prediction of cumulative incidence function under the proportional hazards model. Biometrics 54, 219-228.
    • (1998) Biometrics , vol.54 , pp. 219-228
    • Cheng, S.1    Fine, J.2    Wei, L.3
  • 14
    • 77952567328 scopus 로고    scopus 로고
    • Competing risks and time-dependent covariates
    • Cortese, G. and Andersen, P. (2010). Competing risks and time-dependent covariates. Biometrical Journal 52, 138-158.
    • (2010) Biometrical Journal , vol.52 , pp. 138-158
    • Cortese, G.1    Andersen, P.2
  • 15
    • 45849143717 scopus 로고    scopus 로고
    • Primary endpoints for randomised trials of cancer therapy
    • Cuzick, J. (2008). Primary endpoints for randomised trials of cancer therapy. Lancet 371, 2156-2158.
    • (2008) Lancet , vol.371 , pp. 2156-2158
    • Cuzick, J.1
  • 16
    • 0000415224 scopus 로고
    • Encyclopedia of Statistical Sciences (9 vols. plus Supplement)
    • In: Banks, D. L., Read, C. B. and Kotz, S. (Eds.), Wiley, New York
    • Dawid, A. P. (1986). Probability forecasting. In: Banks, D. L., Read, C. B. and Kotz, S. (Eds.), Encyclopedia of Statistical Sciences (9 vols. plus Supplement), Vol. 7, Wiley, New York, pp. 210-218.
    • (1986) Probability forecasting , vol.7 , pp. 210-218
    • Dawid, A.P.1
  • 18
    • 1542532754 scopus 로고    scopus 로고
    • A proportional hazards model for the subdistribution of a competing risk
    • Fine, J. and Gray, R. J. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of the American Statistical Association 94, 496-509.
    • (1999) Journal of the American Statistical Association , vol.94 , pp. 496-509
    • Fine, J.1    Gray, R.J.2
  • 19
    • 22144490275 scopus 로고    scopus 로고
    • On criteria for evaluating models of absolute risk
    • Gail, M. and Pfeiffer, R. (2005). On criteria for evaluating models of absolute risk. Biostatistics 6, 227-239.
    • (2005) Biostatistics , vol.6 , pp. 227-239
    • Gail, M.1    Pfeiffer, R.2
  • 20
    • 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. Biometrical Journal 48, 1029-1040.
    • (2006) Biometrical Journal , vol.48 , pp. 1029-1040
    • Gerds, T.A.1    Schumacher, M.2
  • 21
    • 34547892291 scopus 로고    scopus 로고
    • Efron-type measures of prediction error for survival analysis
    • Gerds, T. A. and Schumacher, M. (2007). Efron-type measures of prediction error for survival analysis. Biometrics 63, 1283-1287.
    • (2007) Biometrics , vol.63 , pp. 1283-1287
    • Gerds, T.A.1    Schumacher, M.2
  • 22
    • 78650235570 scopus 로고    scopus 로고
    • Cause-specific cumulative incidence estimation and the Fine and Gray model under both left truncation and right censoring
    • DOI: 10.1111/j.1541-0420.2010.01420.x.
    • Geskus, R. B. (2010). Cause-specific cumulative incidence estimation and the Fine and Gray model under both left truncation and right censoring. Biometrics, DOI: 10.1111/j.1541-0420.2010.01420.x.
    • (2010) Biometrics
    • Geskus, R.B.1
  • 24
    • 85153288508 scopus 로고    scopus 로고
    • Encyclopedia of Biostatistics
    • In: Armitage P. and Colton T. (Eds.), Wiley, New York
    • Graf, E. (2005). Explained variation measures in survival analysis. In: Armitage P. and Colton T. (Eds.), Encyclopedia of Biostatistics. Wiley, New York, pp. 1856-1858.
    • (2005) Explained variation measures in survival analysis , pp. 1856-1858
    • Graf, E.1
  • 25
    • 0033619170 scopus 로고    scopus 로고
    • Assessment and comparison of prognostic classification schemes for survival data
    • Graf, E., Schmoor, C., Sauerbrei, W. and Schumacher, M. (1999). Assessment and comparison of prognostic classification schemes for survival data. Statistics in Medicine 18, 2529-2545.
    • (1999) Statistics in Medicine , vol.18 , pp. 2529-2545
    • Graf, E.1    Schmoor, C.2    Sauerbrei, W.3    Schumacher, M.4
  • 26
    • 77949362528 scopus 로고    scopus 로고
    • Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified
    • Grambauer, N., Schumacher, M. and Beyersmann, J. (2010). Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified. Statistics in Medicine 29, 875-884.
    • (2010) Statistics in Medicine , vol.29 , pp. 875-884
    • Grambauer, N.1    Schumacher, M.2    Beyersmann, J.3
  • 27
    • 0000120995 scopus 로고
    • A class of k-sample tests for comparing the cumulative incidence of a competing risk
    • Gray, R. J. (1988). A class of k-sample tests for comparing the cumulative incidence of a competing risk. Annals of Statistics 16, 1141-1154.
    • (1988) Annals of Statistics , vol.16 , pp. 1141-1154
    • Gray, R.J.1
  • 28
    • 0003495267 scopus 로고    scopus 로고
    • Construction and Assessment of Classification Rules
    • Wiley, Chichester, England.
    • Hand, D. J. (1997). Construction and Assessment of Classification Rules. Wiley, Chichester, England.
    • (1997)
    • Hand, D.J.1
  • 29
    • 0000993483 scopus 로고
    • Ignorability and coarse data
    • Heitjan, D. and Rubin, D. (1991). Ignorability and coarse data. Annals of Statistics 19, 2244-2253.
    • (1991) Annals of Statistics , vol.19 , pp. 2244-2253
    • Heitjan, D.1    Rubin, D.2
  • 30
    • 0035975952 scopus 로고    scopus 로고
    • Accuracy of point predictions in survival analysis
    • Henderson, R., Jones, M. and Stare, J. (2001). Accuracy of point predictions in survival analysis. Statistics in Medicine 20, 3083-3096.
    • (2001) Statistics in Medicine , vol.20 , pp. 3083-3096
    • Henderson, R.1    Jones, M.2    Stare, J.3
  • 31
    • 29544445940 scopus 로고    scopus 로고
    • Individual survival time prediction using statistical models
    • Henderson, R. and Keiding, N. (2005). Individual survival time prediction using statistical models. Journal of Medical Ethics 31, 703-706.
    • (2005) Journal of Medical Ethics , vol.31 , pp. 703-706
    • Henderson, R.1    Keiding, N.2
  • 33
    • 70449346540 scopus 로고    scopus 로고
    • Assessing cumulative incidence functions under the semiparametric additive risk model
    • Hyun, S., Sun, Y. and Sundaram, R. (2009). Assessing cumulative incidence functions under the semiparametric additive risk model. Statistics in Medicine 28, 2748-2768.
    • (2009) Statistics in Medicine , vol.28 , pp. 2748-2768
    • Hyun, S.1    Sun, Y.2    Sundaram, R.3
  • 34
    • 33644764720 scopus 로고    scopus 로고
    • Modelling competing risks in cancer studies
    • Klein, J. (2006). Modelling competing risks in cancer studies. Statistics in Medicine 25, 1015-1034.
    • (2006) Statistics in Medicine , vol.25 , pp. 1015-1034
    • Klein, J.1
  • 35
    • 70350707421 scopus 로고    scopus 로고
    • Classification of therapy resistance based on longitudinal biomarker profiles
    • Kohlmann, M., Held, L. and Grunert, V. (2009). Classification of therapy resistance based on longitudinal biomarker profiles. Biometrical Journal 51, 610-626.
    • (2009) Biometrical Journal , vol.51 , pp. 610-626
    • Kohlmann, M.1    Held, L.2    Grunert, V.3
  • 36
    • 33847094543 scopus 로고    scopus 로고
    • Misspecified regression model for the subdistribution hazard of a competing risk
    • Latouche, A., Boisson, V., Porcher, R. and Chevret, S. (2007). Misspecified regression model for the subdistribution hazard of a competing risk. Statistics in Medicine 26, 965-974.
    • (2007) Statistics in Medicine , vol.26 , pp. 965-974
    • Latouche, A.1    Boisson, V.2    Porcher, R.3    Chevret, S.4
  • 37
    • 38849205455 scopus 로고    scopus 로고
    • Sample size calculations in the presence of competing risks
    • Latouche, A. and Porcher, R. (2007). Sample size calculations in the presence of competing risks. Statistics in Medicine 26, 5370-5380.
    • (2007) Statistics in Medicine , vol.26 , pp. 5370-5380
    • Latouche, A.1    Porcher, R.2
  • 38
    • 73349143339 scopus 로고    scopus 로고
    • Reporting of time-to-event end points and tracking of failures in randomized trials of radiotherapy with or without any concomitant anticancer agent for locally advanced head and neck cancer
    • Le Tourneau, C., Michiels, S., Gan, H. K. and Siu, L. L. (2009). Reporting of time-to-event end points and tracking of failures in randomized trials of radiotherapy with or without any concomitant anticancer agent for locally advanced head and neck cancer. Journal of Clinical Oncology 27, 5965-5971.
    • (2009) Journal of Clinical Oncology , vol.27 , pp. 5965-5971
    • Le Tourneau, C.1    Michiels, S.2    Gan, H.K.3    Siu, L.L.4
  • 39
    • 33846562551 scopus 로고    scopus 로고
    • Risk factor analysis of blood stream infection and pneumonia in neutropenic patients after peripheral blood stem-cell transplantation
    • and the ONKO-KISS study group (). ., .
    • Meyer, E., Beyersmann, J., Bertz, H., Wenzler-Röttele, S., Babikir, R., Schumacher, M., Daschner, F., Rüden, H., Dettenkofer, M. and the ONKO-KISS study group (2007). Risk factor analysis of blood stream infection and pneumonia in neutropenic patients after peripheral blood stem-cell transplantation. Bone Marrow Transplant 39, 173-178.
    • (2007) Bone Marrow Transplant , vol.39 , pp. 173-178
    • Meyer, E.1    Beyersmann, J.2    Bertz, H.3    Wenzler-Röttele, S.4    Babikir, R.5    Schumacher, M.6    Daschner, F.7    Rüden, H.8    Dettenkofer, M.9
  • 40
    • 0027166881 scopus 로고
    • Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data?
    • Pepe, M. S. and Mori, M. (1993). Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data? Statistics in Medicine 12, 737-751.
    • (1993) Statistics in Medicine , vol.12 , pp. 737-751
    • Pepe, M.S.1    Mori, M.2
  • 41
    • 85153175050 scopus 로고    scopus 로고
    • R Development Core Team (). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. .
    • R Development Core Team (2010). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. .
    • (2010)
  • 42
  • 43
    • 85020093931 scopus 로고    scopus 로고
    • Explained Variation and Predictive Accuracy with an Extension to the Competing Risks Model
    • and Technical Report, Department of Biostatistics, Institute of Public Health, University of Copenhagen, Denmark.
    • Rosthøj, S. and Keiding, N. (2003). Explained Variation and Predictive Accuracy with an Extension to the Competing Risks Model. Technical Report, Department of Biostatistics, Institute of Public Health, University of Copenhagen, Denmark.
    • (2003)
    • Rosthøj, S.1    Keiding, N.2
  • 44
    • 1442351098 scopus 로고    scopus 로고
    • A new measure of prognostic separation in survival data
    • Royston, P. and Sauerbrei, W. (2004). A new measure of prognostic separation in survival data. Statistics in Medicine 23, 723-748.
    • (2004) Statistics in Medicine , vol.23 , pp. 723-748
    • Royston, P.1    Sauerbrei, W.2
  • 45
    • 58749115237 scopus 로고    scopus 로고
    • Analyses of cumulative incidence functions via non-parametric multiple imputation
    • Ruan, P. and Gray, R. (2008). Analyses of cumulative incidence functions via non-parametric multiple imputation. Statistics in Medicine 27, 5709-5724.
    • (2008) Statistics in Medicine , vol.27 , pp. 5709-5724
    • Ruan, P.1    Gray, R.2
  • 46
    • 78650039392 scopus 로고    scopus 로고
    • Time-dependent predictive accuracy in the presence of competing risks
    • and DOI: 10.1111/j.1541-0420.2009.01375.x.
    • Saha, P. and Heagerty, P. (2010). Time-dependent predictive accuracy in the presence of competing risks. Biometrics, DOI: 10.1111/j.1541-0420.2009.01375.x.
    • (2010) Biometrics
    • Saha, P.1    Heagerty, P.2
  • 47
    • 0346102883 scopus 로고    scopus 로고
    • Extensions and applications of the Cox-Aalen survival model
    • Scheike, T. and Zhang, M. J. (2003). Extensions and applications of the Cox-Aalen survival model. Biometrics 59, 1036-1045.
    • (2003) Biometrics , vol.59 , pp. 1036-1045
    • Scheike, T.1    Zhang, M.J.2
  • 48
    • 85153260093 scopus 로고    scopus 로고
    • Predictive accuracy of failure time models with longitudinal covariates. Ph.D. Thesis, University of Freiburg, Germany. .
    • Schoop, R. (2008). Predictive accuracy of failure time models with longitudinal covariates. Ph.D. Thesis, University of Freiburg, Germany. .
    • (2008)
    • Schoop, R.1
  • 49
    • 43749121162 scopus 로고    scopus 로고
    • Quantifying the predictive performance of prognostic models for censored survival data with time-dependent covariates
    • Schoop, R., Graf, E. and Schumacher, M. (2008). Quantifying the predictive performance of prognostic models for censored survival data with time-dependent covariates. Biometrics 64, 603-610.
    • (2008) Biometrics , vol.64 , pp. 603-610
    • Schoop, R.1    Graf, E.2    Schumacher, M.3
  • 51
    • 77956481553 scopus 로고    scopus 로고
    • Regression modeling of competing risk using R: an in depth guide for clinicians
    • Scrucca, L., Santucci, A. and Aversa, F. (2010). Regression modeling of competing risk using R: an in depth guide for clinicians. Bone Marrow Transplant 45, 1388-1395.
    • (2010) Bone Marrow Transplant , vol.45 , pp. 1388-1395
    • Scrucca, L.1    Santucci, A.2    Aversa, F.3
  • 52
    • 0032756512 scopus 로고    scopus 로고
    • Confidence bands for cumulative incidence curves under the additive risk model
    • Shen, Y. and Cheng, S. (1999). Confidence bands for cumulative incidence curves under the additive risk model. Biometrics 55, 1093-1100.
    • (1999) Biometrics , vol.55 , pp. 1093-1100
    • Shen, Y.1    Cheng, S.2
  • 53
    • 33846496324 scopus 로고    scopus 로고
    • Modeling the subdistribution of a competing risk
    • Sun, L., Liu, J., Sun, J. and Zhang, M. J. (2006). Modeling the subdistribution of a competing risk. Statistica Sinica 16, 1367-1385.
    • (2006) Statistica Sinica , vol.16 , pp. 1367-1385
    • Sun, L.1    Liu, J.2    Sun, J.3    Zhang, M.J.4
  • 55
    • 63449138021 scopus 로고    scopus 로고
    • Bloodstream infections in haematology: risks and new challenges for prevention
    • Worth, L. and Salvin, M. (2009). Bloodstream infections in haematology: risks and new challenges for prevention. Blood Reviews 2, 113-122.
    • (2009) Blood Reviews , vol.2 , pp. 113-122
    • Worth, L.1    Salvin, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.