Monte Carlo studies of bootstrap variability in ROC analysis with data dependency
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ROC analysis involving two large datasets is an important method for analyzing statistics of interest for decision making of a classifier in many disciplines. And data dependency due to multiple use of the same subjects exists ubiquitously in order to generate... ...
