Regression Analysis for Correlated ROC Curves
نویسندگان
چکیده
منابع مشابه
A general class of hierarchical ordinal regression models with applications to correlated ROC analysis
The authors discuss a general class of hierarchical ordinal regression models that includes both location and scale parameters, allows link functions to be selected adaptively as finite mixtures of normal cumulative distribution functions, and incorporates flexible correlation structures for the latent scale variables. Exploiting the well known correspondence between ordinal regression models a...
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The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a comprehensive suite of Stata commands for performing ROC analysis. Non-parametric, semiparametric and parametric estimators are calculated. Comparisons between curves are based on the area or partial area under...
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Purpose: The aim was studying the discriminability by ROC curves and gain charts for simple fixed combining of constituent classifiers, for asthma severity diagnosis, and also for bagging and boosting. Material and methods: ROC shows a performance over a range of relative costs and probabilities a priori. Area under ROC curve (AUC) is the measure of separability of two probability distributions...
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Diagnostic tests commonly are characterized by their true positive (sensitivity) and true negative (specificity) classification rates, which rely on a single decision threshold to classify a test result as positive. A more complete description of test accuracy is given by the receiver operating characteristic (ROC) curve, a graph of the false positive and true positive rates obtained as the dec...
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RATIONAL AND OBJECTIVES It is common to administer the same diagnostic test more than once to the same set of patients. The purpose of this study was to develop two statistical methods for estimating and comparing correlated receiver operating characteristic (ROC) curves for data derived from repeated diagnostic tests. MATERIAL AND METHODS Parametric and semiparametric transformation models w...
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