Hi All,
A potential customer asked whether JMP has the capability of combining multiple markers for classification using ROC. I do some research online but find little information about this technique except for the following abstract.
--"In biomedical studies, it is of great interest to develop methodologies for combining multiple markers for the purpose of disease classification. The receiving operating characteristic (ROC) technique has been widely used, where classification performance can be measured with the area under the ROC curve (AUC). In this article, we study a ROC-based method for effectively combining multiple markers for disease classification. We propose a sigmoid AUC (SAUC) estimator that maximizes the sigmoid approximation of the empirical AUC. The SAUC estimator is computationally affordable, n½-consistent and achieves the same asymptotic efficiency as the AUC estimator. Inference based on the weighted bootstrap is investigated. We also propose Monte Carlo methods to assess the overall prediction performance and the relative importance of individual markers. Finite sample performance is evaluated using simulation studies and two public data sets."
Does anyone know whether we could do this in JMP? I guess script is needed, is it easy to realize or it is a complicated project?
Thanks for your help in advance.
Yanfei
