We study properties of the index J(3), defined as the accuracy, or the maximum correct classification, for a given three class classification problem Specifically, using J(3) one can assess the discrimination between the three distributions and obtain an optimal pair of cut off points c(1)<c(2) in the sense that the sum of the correct classification proportions will be maximized It also serves as the generalization of the Youden Index in three class problems Parametric and non parametric approaches for estimation and testing are considered and methods are applied to data from an MRS study on human immunodeficiency virus (HIV) patients Copyright (C) 2010 John Wiley & Sons, Lt
Evaluation of the overall accuracy of biomarkers might be based on average measures of the sensitivi...
An index of classification accuracy was recently proposed that, in addition to being relatively str...
Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, ...
In diagnostic studies, both sensitivity and specificity depend on cut-off point and they are well-kn...
Routine cognitive screening in Parkinson disease (PD) has become essential for management, to track ...
Diagnostic cut-off point of biomarker measurements is needed for classifying a random subject to be ...
Presentation given at the ICSA Applied Statistics Symposium. Program An essential aspect of medical ...
A diagnostic cut-off point of a biomarker measurement is needed for classifying a random subject to ...
In decision making, an optimal point represents the settings for which a classification system shoul...
This article explores both existing and new methods for the construction of confidence intervals for...
This article explores both existing and new methods for the construction of confidence intervals for...
Diagnostic cut-off point of biomarker measurements is needed for classifying a random subject to be ...
Diagnostic cut-off point of biomarker measurements is needed for classifying a random subject to be ...
Many disease processes such as Alzheimer'sDisease have three ordinal disease classes, i.e. the non-d...
An essential aspect of medical diagnostic testing using biomarkers is to find an optimal cut-point t...
Evaluation of the overall accuracy of biomarkers might be based on average measures of the sensitivi...
An index of classification accuracy was recently proposed that, in addition to being relatively str...
Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, ...
In diagnostic studies, both sensitivity and specificity depend on cut-off point and they are well-kn...
Routine cognitive screening in Parkinson disease (PD) has become essential for management, to track ...
Diagnostic cut-off point of biomarker measurements is needed for classifying a random subject to be ...
Presentation given at the ICSA Applied Statistics Symposium. Program An essential aspect of medical ...
A diagnostic cut-off point of a biomarker measurement is needed for classifying a random subject to ...
In decision making, an optimal point represents the settings for which a classification system shoul...
This article explores both existing and new methods for the construction of confidence intervals for...
This article explores both existing and new methods for the construction of confidence intervals for...
Diagnostic cut-off point of biomarker measurements is needed for classifying a random subject to be ...
Diagnostic cut-off point of biomarker measurements is needed for classifying a random subject to be ...
Many disease processes such as Alzheimer'sDisease have three ordinal disease classes, i.e. the non-d...
An essential aspect of medical diagnostic testing using biomarkers is to find an optimal cut-point t...
Evaluation of the overall accuracy of biomarkers might be based on average measures of the sensitivi...
An index of classification accuracy was recently proposed that, in addition to being relatively str...
Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, ...