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Efron-Type Measures of Prediction Error for Survival Analysis

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  • Thomas A. Gerds
  • Martin Schumacher

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  • Thomas A. Gerds & Martin Schumacher, 2007. "Efron-Type Measures of Prediction Error for Survival Analysis," Biometrics, The International Biometric Society, vol. 63(4), pages 1283-1287, December.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:4:p:1283-1287
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00832.x
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    References listed on IDEAS

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    1. Patrick Royston, 2005. "Multivariable regression models with continuous covariates, with a practical emphasis on fractional polynomials and applications in clinical epidemiology," German Stata Users' Group Meetings 2005 01, Stata Users Group.
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    Cited by:

    1. Matthias Schmid & Thomas Hielscher & Thomas Augustin & Olaf Gefeller, 2011. "A Robust Alternative to the Schemper–Henderson Estimator of Prediction Error," Biometrics, The International Biometric Society, vol. 67(2), pages 524-535, June.
    2. Robin Van Oirbeek & Emmanuel Lesaffre, 2018. "An Investigation of the Discriminatory Ability of the Clustering Effect of the Frailty Survival Model," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 6(3), pages 87-98, April.
    3. Mikulec Artur & Misztal Małgorzata, 2018. "Does the Type of Business Activity and the Enterprise Location Affect a Firm’S Survival? Results of an Analysis for Natural Persons Conducting Economic Activity in the Łódzkie Voivodship," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(3), pages 23-40, September.
    4. Van Oirbeek, R. & Lesaffre, E., 2012. "Assessing the predictive ability of a multilevel binary regression model," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1966-1980.
    5. Binder Harald & Schumacher Martin, 2008. "Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-28, March.
    6. Daniel Commenges & Benoit Liquet & Cécile Proust-Lima, 2012. "Choice of Prognostic Estimators in Joint Models by Estimating Differences of Expected Conditional Kullback–Leibler Risks," Biometrics, The International Biometric Society, vol. 68(2), pages 380-387, June.
    7. Glenn Heller, 2021. "The added value of new covariates to the brier score in cox survival models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 27(1), pages 1-14, January.
    8. Matthias Weber & Martin Schumacher & Harald Binder, 2014. "Regularized Regression Incorporating Network Information: Simultaneous Estimation of Covariate Coefficients and Connection Signs," Tinbergen Institute Discussion Papers 14-089/I, Tinbergen Institute.
    9. Christine Porzelius & Martin Schumacher & Harald Binder, 2011. "The benefit of data-based model complexity selection via prediction error curves in time-to-event data," Computational Statistics, Springer, vol. 26(2), pages 293-302, June.
    10. Tianxi Cai & Thomas A Gerds & Yingye Zheng & Jinbo Chen, 2011. "Robust Prediction of t-Year Survival with Data from Multiple Studies," Biometrics, The International Biometric Society, vol. 67(2), pages 436-444, June.

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