1 |
Sauerbrei, W. and Schumacher, M. (1992). A bootstrap resampling procedure for model building: Appli- cation to the Cox regression model. Statistical Medicine, 11, 2093-2099.
DOI
ScienceOn
|
2 |
Saunders, C., Gammerman, A. and Vovk, V. (1998). Ridge regression learning algorithm in dual variables. Proceedings of the 15th International Conference on Machine Learning, 515-521.
|
3 |
Schoelkopf, B., Burge, C. and Smola, A. (1998). Advances in kernel methods: Support vector learning, MIT Press, MA.
|
4 |
Shim, J. (2005). Censored kernel ridge regression. Journal of the Korean Data & Information Science Society, 16, 1045-1052.
|
5 |
Evers, L. and Messow, C. M. (2008). Sparse kernel methods for high-dimensional survival data. Bioinfor- matics, 24, 1632-1638.
DOI
ScienceOn
|
6 |
Fan, J. and Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association, 96, 348-1360.
|
7 |
Hwang, C. and Shim, J. (2010). Semiparametric support vector machine for accelerated failure time model. Journal of the Korean Data & Information Science Society, 21, 467-477.
|
8 |
Li, H. and Luan, Y. (2003). Kernel Cox regression models for linking gene expression profiles to censored survival data. Pacific Symposium on Biocomputing, 8, 865-876.
|
9 |
Mercer, J. (1909). Functions of positive and negative type and their connection with theory of integral equations. Philosophical Transactions of Royal Society A, 415-446.
|
10 |
Cho, D. H., Shim, J. and Seok, K. H. (2010). Doubly penalized kernel method for heteroscedastic autore- gressive data. Journal of the Korean Data & Information Science Society, 21, 155-162.
|
11 |
Cox, D. R. (1972). Regression models and life tables(with discussions). Journal of the Royal Statistical Society, B, 34, 187-220.
|
12 |
Cox, D. R. (1975). Partial likelihood. Biometrika, 62, 269-276.
DOI
ScienceOn
|
13 |
Craven, P. and Wahba, G. (1979). Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation. Numerical Mathematics, 31, 377- 403.
|
14 |
Tsiatis, R. (1978). A heuristic estimate of the asymptotic variance of survival probability in Cox' regression model, Technical report of University of Wisconsin, number 524.
|
15 |
Breslow, N. (1974). Covariance analysis of censored survival data. Biometrics, 30, 89-99.
DOI
ScienceOn
|
16 |
Zhang, H. H. and Lu, W. (2007). Adaptive Lasso for Cox's proportional hazards model. Biometrika, 94, 691-703.
DOI
ScienceOn
|
17 |
Shim, J. and Lee, J. T. (2009). Kernel method for autoregressive data. Journal of the Korean Data & Information Science Society, 20, 467-472.
|
18 |
Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society B, 58, 267-288.
|
19 |
Tibshirani, R.(1997). The Lasso method for variable selection in the Cox model. Statistics in Medicine, 16, 385-395.
DOI
ScienceOn
|