An application of lomax distributions in receiver operating characteristic(roc)curve analysis

DOI10.1080/03610929308831110zbMath0800.62721OpenAlexW1985335883MaRDI QIDQ4275751

Gregory Campbell, M. V. Ratnaparkhi

Publication date: 31 January 1994

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929308831110

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics (62P99) Survival analysis and censored data (62N99)

Related Items (14)

REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGN ⋮ Robust ranking by ensembling of diverse models and assessment metrics ⋮ Smooth estimation of ROC curve in the presence of auxiliary information ⋮ Logistic regression analysis with standardized markers ⋮ Semi-parametric hybrid empirical likelihood inference for two-sample comparison with censored data ⋮ Matrix variate receiver operating characteristic curve for binary classification ⋮ ROC convex hull and nonparametric maximum likelihood estimation ⋮ Kernel estimators of the ROC curve with censored data ⋮ Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data ⋮ Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve ⋮ Analysis and optimum plan for 3-step step-stress accelerated life tests with Lomax model under progressive type-I censoring ⋮ Regression Models for Convex ROC Curves ⋮ A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies ⋮ Estimation of a convex ROC curve.

Cites Work

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• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data
• The Pareto Distribution as a Queue Service Discipline

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