Article
Geochemistry & Geophysics
Chein-I Chang
Summary: This article explores fundamental and conceptual issues in the application of the 2D ROC curve for hyperspectral anomaly detection, providing solutions and insights. By deriving a mathematical theory and conducting comprehensive analysis, it reveals the principles of plotting the 2D ROC curve and evaluating background suppression. The article also highlights that many detectors claiming good performance in AD actually perform poorly in BS.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Hardware & Architecture
Ruhul Ali Khan
Summary: A new semiparametric model of the ROC curve is proposed, which is based on the resilience family or proportional reversed hazard family. The resulting ROC curve and its summary indices have simple analytic forms. The estimation methodologies of the resilience family and a simulation study to assess the performance of the estimators are discussed.
IEEE TRANSACTIONS ON RELIABILITY
(2023)
Article
Agriculture, Dairy & Animal Science
M. Martin, M. D. Kleinhenz, K. S. Schwartzkopf-Genswein, D. Melendez, S. Marti, E. A. Pajor, E. D. Janzen, J. Coetzee
Summary: This study used ROC analysis to evaluate the predictive value of pain biomarkers in livestock. It found that plasma cortisol, hair cortisol, and IRT had higher AUC values, while salivary cortisol, MNT, substance P, kinematic gait analysis, and a visual analog scale for pain had lower AUC values.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Environmental Sciences
Zining Yu, Katsumi Hattori, Kaiguang Zhu, Mengxuan Fan, Dedalo Marchetti, Xiaodan He, Chengquan Chi
Summary: The study examines the correlation between strain anomalies and earthquake precursors by using monitoring systems in China. A new prediction strategy suggests that enhanced network anomalies prior to larger earthquakes improve short-term earthquake forecasting. ROC detection indicates the potential for strain data to contain precursory information associated with major earthquakes.
Article
Mathematical & Computational Biology
Vanda Inacio, Vanda M. Lourenco, Miguel de Carvalho, Richard A. Parker, Vincent Gnanapragasam
Summary: This study develops a robust and flexible model for inference on covariate-specific ROC curves, aiming to safeguard against the impact of outlying test results and accommodate for nonlinear effects of covariates. Simulation results demonstrate the method successfully recovers the true covariate-specific area under the ROC curve in various contamination scenarios.
STATISTICS IN MEDICINE
(2021)
Article
Psychology, Multidisciplinary
Yueran Yang
Summary: This article discusses how to improve classification performance using ROC analysis and introduces a tool to visualize a classifier's expected utility. The analysis reveals that expected utility depends not only on the accuracy of a classifier but also on its operating point. Therefore, choosing the optimal operating point can maximize expected utility. The article also explores other methods beyond ROC analysis to increase expected utility.
PSYCHOLOGICAL METHODS
(2022)
Article
Statistics & Probability
Alicja Jokiel-Rokita, Rafal Topolnicki
Summary: This paper introduces the use of the minimum distance method to estimate a one-dimensional parameter of an ROC curve based on the Lehmann family of distributions, proving the consistency and asymptotic normality of the obtained estimators. Through a simulation study, the accuracy of the proposed estimators is compared with that of known estimators based on different methods, with an illustrative example of an application to real data provided.
Article
Health Care Sciences & Services
Duc-Khanh To, Gianfranco Adimari, Monica Chiogna, Davide Risso
Summary: This article investigates the use of linear mixed model approach to utilize clustered structure of data for three-class and continuous-valued diagnostic tests. It provides a method for estimating covariate-specific receiver operating characteristic surfaces and discusses methods for choosing optimal thresholds. The proposed threshold estimators are proven to be consistent and asymptotically normal.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Leslie R. Pendrill, Jeanette Melin, Anne Stavelin, Gunnar Nordin
Summary: The justification for making a measurement is to assess the compliance of a quality characteristic of an entity with a specification limit. The traditional tool, receiver operating characteristic (ROC), used to evaluate the performance of testing devices and classification algorithms has limitations. This paper introduces a new approach combining measurement system analysis (MSA) and item response theory (IRT) to improve the measurement quality of each ROC curve, enabling more reliable decision-making in various scenarios, including machine learning.
Article
Health Care Sciences & Services
Ruitao Lin, K. C. Gary Chan, Haolun Shi
Summary: The study proposes a method for exact inference using empirical likelihood within a Bayesian framework to estimate the area under the receiver operating characteristic curve, drawing inference from posterior samples obtained via a Gibbs sampler. The method simplifies computation and can be applied to various scenarios in different fields.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2021)
Article
Nutrition & Dietetics
Adam Drewnowski, Tanhia D. Gonzalez, Colin D. Rehm
Summary: This study compared the diagnostic accuracy of a new balanced hybrid nutrient density score (bHNDS) to Nutri-Score and Health Star Rating (HSR) front-of-pack systems using ROC curve analyses. The results showed high agreement between bHNDS and the two labeling systems.
FRONTIERS IN NUTRITION
(2022)
Article
Health Care Sciences & Services
Pablo Martinez-Camblor
Summary: A good diagnostic test should exhibit distinct behavior for positive and negative populations, but that is not sufficient to create a good classification system. Defining decision criteria is crucial for solving the complex binary classification problem. The receiver-operating characteristic curve length serves as an index for the optimal discriminatory capacity of a biomarker, but its estimation requires parametric or smoothed models. This study examines a kernel density estimator-based approximation for estimating the length of the receiver-operating characteristic curve and explores its behavior through statistical analysis and Monte Carlo simulations with real-world examples.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2023)
Article
Health Care Sciences & Services
Di Shu, Guangyong Zou
Summary: This study develops closed-form sample size formulas for estimating areas under receiver operating characteristic curves and their differences in diagnostic studies. It focuses on estimation rather than hypothesis testing and incorporates pre-specified precision and assurance. The proposed normality-based variance function provides more accurate and efficient sample size estimates compared to an existing function. Real-world worked examples are presented, and an online calculator has been developed for implementation.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2023)
Article
Health Care Sciences & Services
Mohamed S. Abdallah
Summary: This article focuses on estimating the area under the curve of the receiver operating characteristic using paired ranked set sampling. New estimators are proposed and their performance is compared with other existing methods. The proposed estimators are shown to be consistent under certain assumptions and perform well in empirical datasets.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2023)
Article
Computer Science, Software Engineering
Shun Liu, Junjie Yang, Xianxian Zeng, Haiying Song, Jian Cen, Weichao Xu
Summary: Receiver Operating Characteristic (ROC) analysis is a commonly used tool in science and engineering for two-class problems. It characterizes the performance of binary statistical models using the scalar area under the ROC curve (AUC). However, tasks with more than two categories are frequently encountered, and the extension of ROC curve and AUC, namely hyper ROC surface and hyper-volume under the surface (HVUS), has attracted extensive interest. This study develops a python-based package and software tool as an alternative for multi-class ROC analysis.
Article
Behavioral Sciences
Meng Gao, Daniel Lengersdorf, Maik C. Stuettgen, Onur Guentuerkuen
BEHAVIOURAL BRAIN RESEARCH
(2018)
Article
Behavioral Sciences
Meng Gao, Daniel Lengersdorf, Maik C. Stuettgen, Onur Guentuerkuen
NEUROBIOLOGY OF LEARNING AND MEMORY
(2019)
Article
Neurosciences
Alexander van der Bourg, Jenq-Wei Yang, Maik C. Stuettgen, Vicente Reyes-Puerta, Fritjof Helmchen, Heiko J. Luhmann
EUROPEAN JOURNAL OF NEUROSCIENCE
(2019)
Article
Biochemistry & Molecular Biology
Beate Knauer, Maik C. Stuettgen
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2019)
Article
Biochemistry & Molecular Biology
Vanya V. Stoilova, Sina A. Wette, Maik C. Stuettgen
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2019)
Article
Biochemistry & Molecular Biology
Julian I. Hofmann, Cornelius Schwarz, Uwe Rudolph, Bernd Antkowiak
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2019)
Article
Behavioral Sciences
Arindam Bhattacharjee, Diljit Singh Kajal, Alessandra Patrono, Yiwen Li Hegner, Massimiliano Zampini, Cornelius Schwarz, Christoph Braun
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
(2020)
Article
Neurosciences
Yi Chen, Filip Sobczak, Patricia Pais-Roldan, Cornelius Schwarz, Alan P. Koretsky, Xin Yu
Article
Biochemistry & Molecular Biology
Matthias Kreuzer, Sergejus Butovas, Paul S. Garcia, Gerhard Schneider, Cornelius Schwarz, Uwe Rudolph, Bernd Antkowiak, Berthold Drexler
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2020)
Article
Neurosciences
Sophie Laturnus, Adrian Hoffmann, Shubhodeep Chakrabarti, Cornelius Schwarz
Summary: The brainstem trigeminal nuclei were found to largely preserve the encoding properties of primary afferents, including local encoding and kinematic response fields. While Pr5 and Sp5i exhibited lower spike and information rates compared to TG, the information rate per spike was comparable. This suggests a commonality in transferring primary afferent information despite differences in assumed functions.
JOURNAL OF NEUROPHYSIOLOGY
(2021)
Article
Multidisciplinary Sciences
Maysam Oladazimi, Thibaut Putelat, Robert Szalai, Kentaro Noda, Isao Shimoyama, Alan Champneys, Cornelius Schwarz
Summary: The study reveals how microNewton forces at the tip of a rat's whisker are transmitted to primary afferents, affecting perceptual activities. By using high resolution videography and accurate measurements, it is found that the shape of the whisker acts as a filter for converting moments and robustly engaging primary afferents. A mathematical model based on Cosserat rod theory and friction model quantifies the relationship between kinematics and dynamics.
SCIENTIFIC REPORTS
(2021)
Article
Neurosciences
Shubhodeep Chakrabarti, Jithin Nambiar, Cornelius Schwarz
Summary: Rodents generate rhythmic whisking movements to explore their environment. Researchers established a whisking task in which mice altered their whisking trajectory in a goal-oriented manner to gain rewards. By adjusting whisker kinematics, mice were able to adapt to changes in target distance while maintaining a constant reward probability.
FRONTIERS IN SYSTEMS NEUROSCIENCE
(2022)
Article
Neurosciences
Arindam Bhattacharjee, Christoph Braun, Cornelius Schwarz
Summary: The study investigated whether humans implement a temporally local coding scheme for perceptual decisions in the tactile system. The results showed that manipulating local pulse shape significantly affects psychophysical performance, suggesting the existence of temporally local coding in human tactile perception. Different kinematic layouts of pulses resulted in distinct differences in performance, indicating that temporally local coding may not be tuned to a unique kinematic variable.
Article
Neurosciences
Arindam Bhattacharjee, Cornelius Schwarz
Summary: Research indicates that humans are better at remembering local variables compared to global variables, especially when it comes to detecting pulsatile changes, emphasizing the importance of local variables in memory retention.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Behavioral Sciences
Sergejus Butovas, Cornelius Schwarz
Summary: The goal of cortical neuroprosthetics is to accurately implant sensory information into cortical networks. This study demonstrated that passive touch and active touch have different effects on the local field potential (LFP) responses to microstimulation in the barrel cortex. Active touch significantly suppressed the positive deflection of LFP responses. This finding suggests that the behavioral context should be considered when using neuroprostheses to stimulate cortical circuits.
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2022)