Approximating the risk score for disease diagnosis using MARS

DOI10.1080/02664760802499352zbMath1474.62399OpenAlexW4237191356WikidataQ37266036 ScholiaQ37266036MaRDI QIDQ3184493

Binbing Yu

Publication date: 21 October 2009

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2712304

zbMATH Keywords

Neyman-Pearson lemmaROCrisk scoremultivariate adaptive regression spline (MARS)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• R

Cites Work

• Unnamed Item
• An extensive comparison of recent classification tools applied to microarray data
• Multivariate adaptive regression splines
• Combining Several Screening Tests: Optimality of the Risk Score
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• Linear Combinations of Multiple Diagnostic Markers
• Polychotomous Regression
• Combining diagnostic test results to increase accuracy
• Identifying Combinations of Cancer Markers for Further Study as Triggers of Early Intervention
• Combining Multiple Markers for Classification Using ROC
• Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve

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