Boosting for high-dimensional time-to-event data with competing risks

Bioinformatics

Volumn 25, Issue 7, 2009, Pages 890-896

  Binder, Harald ^a,b   Allignol, Arthur ^a,b   Schumacher, Martin ^b   Beyersmann, Jan ^a,b  

^a UNIVERSITY OF FREIBURG   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANALYTICAL ERROR; ARTICLE; BIOINFORMATICS; BLADDER CANCER; BOOTSTRAPPING; COVARIANCE; GENE EXPRESSION REGULATION; MATHEMATICAL COMPUTING; MICROARRAY ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; SIMULATION;

EID: 63549089131     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp088     Document Type: Article

References (23)

1. Aalen,O. and Johansen,S. (1978) An empirical transition matrix for nonhomogenous Markov chains based on censored observations. Scand. J. Stat., 5, 141-150.
2. Andersen,P.K. et al. (1993) Statistical Models Based on Counting Processes. Springer, Berlin.
3. Bender,R. et al. (2005) Generating survival times to simulate Cox proportional hazards models. Stat. Med., 24, 1713-1723.
4. Beyersmann,J. and Schumacher,M. (2008) Time-dependent covariates in the proportional subdistribution hazards model for competing risks. Biostatistics, 9, 765-776.
5. Beyersmann,J. et al. (2007) A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards. Stat. Med., 26, 5360-5369.
6. Binder,H. and Schumacher,M. (2008a) Adapting prediction error estimates for biased complexity selection in high-dimensional bootstrap samples. Stat. Appl. Genet. Mol. Biol., 7, Article 12.
7. Binder,H. and Schumacher,M. (2008b) Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models. BMC Bioinformatics, 9, 14.
8. Bühlmann,P. and Yu,B. (2003) Boosting with the L2 loss: Regression and classification. J. Am. Stat. Assoc., 98, 324-339.
9. Dyrskjøt,L. et al. (2007) Gene expression signatures predict outcome in non-muscle-invasive bladder carcinoma: A multicenter validation study. Clin. Cancer Res., 13, 3545-3551.
10. Efron,B. and Tibshirani,R. (1997) Improvements on cross-validation: The 623+ boostrap method. J. Am. Stat. Assoc., 92, 548-560.
11. Fine,J.P. and Gray,R.J. (1999) A proportional hazards model for the subdistribution of a competing risk. J. Am. Stat. Assoc., 94 496-509.
12. Friedman,J.H. (2001) Greedy function approximation: A gradient boosting machine. Ann. Stat., 29, 1189-1232.
13. Gerds,T.A. and Schumacher,M. (2006) Consistent estimation of the expected Brier score in general survival models with right-censored event times. Biometrical J., 48, 1029-1040.
14. Gerds,T.A. and Schumacher,M. (2007) Efron-type measures of prediction error for survival analysis. Biometrics, 63, 1283-1287.
15. Graf,E. et al. (1999) Assessment and comparison of prognostic classification schemes for survival data. Stat. Med., 18, 2529-2545.
16. 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.
17. Latouche,A. et al. (2007) Misspecified regression model for the subdistribution hazard of a competing risk. Stat. Med., 26, 965-974.
18. 1-regularization path algorithms for generalized linear models. J. R. Stat. Soc. B, 69, 659-677.
19. Pepe,M.S. and Mori,M. (1993) Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failur time data? Stat. Med., 12, 737-751.
20. Schoop,R. (2008) Predictive Accuracy of Failure Time Models with Longitudinal Covariates. PhD Thesis, University of Freiburg. Available at http://www.freidok.uni-freiburg.de/volltexte/4995/ (last accessed date on 29 August, 2008).
21. Schumacher,M. et al. (2007) Assessment of survival prediction models based on microarray data. Bioinformatics, 23, 1768-1774.
22. Tibshirani,R. (1996) Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B, 58, 267-288.
23. Verweij,P.J.M. and van Houwelingen,H.C. (1993) Cross-validation in survival analysis. Stat. Med., 12, 2305-2314.