Resampling Strategies for Model Assessment and Selection
The advent of DNA microarrays and proteomics technology has stimulated the development and use of classification algorithms for biomedical studies. In oncology, for example, a common application is predicting response to treatment based on expression profiling of tumor tissue. Such a classifier could be used as an aid in treatment selection for future patients based on the expression profiles of their tumors. In developing such a classifier, it is important to estimate the predictive accuracy that can be expected for future application of the classifier.
KeywordsPrediction Error Linear Discriminant Analysis Classifier Development Resampling Strategy Diagonal Linear Discriminant Analysis
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