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Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test.

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TLDR
This work proposes two new methods for estimating the intercept and slope parameters from a binormal ROC curve that assesses the accuracy of a continuous diagnostic test using a profile likelihood and a simple algorithm.
Abstract
SUMMARY Not until recently has much attention been given to deriving maximum likelihood methods for estimating the intercept and slope parameters from a binormal ROC curve that assesses the accuracy of a continuous diagnostic test. We propose two new methods for estimating these parameters. The first method uses the profile likelihood and a simple algorithm to produce fully efficient estimates. The second method is based on a pseudo-maximum likelihood that can easily accommodate adjusting for covariates that could affect the accuracy of the continuous test.

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Journal ArticleDOI

Receiver-Operating Characteristic Analysis for Evaluating Diagnostic Tests and Predictive Models

TL;DR: The measures of accuracy—sensitivity, specificity, and area under the curve (AUC)—that use the ROC curve are reviewed, and how these measures can be applied using the evaluation of a hypothetical new diagnostic test as an example are illustrated.
Journal ArticleDOI

EGFR FISH assay predicts for response to cetuximab in chemotherapy refractory colorectal cancer patients

TL;DR: CRC patients with high EGFR gene copy number have an increased likelihood to respond to cetuximab therapy, and Prospective clinical trials with a careful standardization of assay conditions and pattern interpretation are urgently needed.
Journal ArticleDOI

Diagnostic accuracy and receiver-operating characteristics curve analysis in surgical research and decision making.

TL;DR: The fundamental roles, suggested presentation, potential biases, and interpretation of ROC analysis in surgical research are discussed, and appropriate use may help identify the most appropriate cutoff value for clinical and surgical decision making and avoid confounding effects seen with subjective ratings.
References
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Book

Empirical processes with applications to statistics

TL;DR: In this paper, a broad cross-section of the literature available on one-dimensional empirical processes is summarized, with emphasis on real random variable processes as well as a wide-ranging selection of applications in statistics.
Book

The Statistical Evaluation of Medical Tests for Classification and Prediction

TL;DR: A comparison of Binary Tests and Regression Analysis and the Receiver Operating Characteristic Curve shows that Binary Tests are more accurate than Ordinal Tests when the Receiver operating characteristic curve is considered.
BookDOI

Statistical Methods in Diagnostic Medicine

TL;DR: This book discusses the design of Diagnostic Accuracy Studies, the construction of a Smooth ROC Curve, and how to select a Sampling Plan for Readers based on Sensitivity and Specificity.
Journal ArticleDOI

ROC methodology in radiologic imaging

TL;DR: This article develops ROC concepts in an intuitive way by identifying the fundamental issues that motivate ROC analysis and practical techniques for ROC data collection and data analysis.
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