A study of pre-validation
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[1] Howard Y. Chang,et al. Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[2] B. Efron. How Biased is the Apparent Error Rate of a Prediction Rule , 1986 .
[3] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[4] M. Pepe,et al. Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. , 2004, American journal of epidemiology.
[5] Christophe Ambroise,et al. Selection bias in working with the top genes in supervised classification of tissue samples , 2006 .
[6] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[7] Mee Young Park,et al. L 1-regularization path algorithm for generalized linear models , 2006 .
[8] J. Ware. The limitations of risk factors as prognostic tools. , 2006, The New England journal of medicine.
[9] Mee Young Park,et al. L1‐regularization path algorithm for generalized linear models , 2007 .
[10] R. Tibshirani,et al. Statistical Applications in Genetics and Molecular Biology Pre-validation and inference in microarrays , 2011 .
[11] Jianming Ye. On Measuring and Correcting the Effects of Data Mining and Model Selection , 1998 .
[12] T. Hastie,et al. Classification of gene microarrays by penalized logistic regression. , 2004, Biostatistics.
[13] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[14] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .
[15] R. Tibshirani,et al. An Introduction to the Bootstrap , 1995 .
[16] R. Tibshirani,et al. Generalized additive models for medical research , 1986, Statistical methods in medical research.
[17] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.