2011, 2nd ed., CLSI document, ISBN 1562387774, Volume EP24-A2., viii, 45
"This document provides a protocol for evaluating the accuracy of a test to discriminate between two subclasses of subjects when there is some clinically...
Decision support systems | Receiver operating characteristic curves | Laboratories | Standards
Decision support systems | Receiver operating characteristic curves | Laboratories | Standards
Book
Indian Pediatrics, ISSN 0019-6061, 4/2011, Volume 48, Issue 4, pp. 277 - 287
Sensitivity and specificity are two components that measure the inherent validity of a diagnostic test for dichotomous outcomes against a gold standard....
Pediatrics | Sensitivity | Specificity | Medicine & Public Health | Sample size | Maternal and Child Health | Optimal cut-off point | Receiver operating characteristic curve | Pediatric Surgery | Partial area under the curve | PEDIATRICS | Medical research personnel | Analysis | Medical informatics
Pediatrics | Sensitivity | Specificity | Medicine & Public Health | Sample size | Maternal and Child Health | Optimal cut-off point | Receiver operating characteristic curve | Pediatric Surgery | Partial area under the curve | PEDIATRICS | Medical research personnel | Analysis | Medical informatics
Journal Article
Stata Journal, ISSN 1536-867X, 2009, Volume 9, Issue 1, pp. 1 - 16
The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases...
St0154 | Roccurve | Receiver operating characteristic curve | Comproc | comproc | REGRESSION | MAXIMUM-LIKELIHOOD ESTIMATION | st0154 | STATISTICS & PROBABILITY | roccurve | DIAGNOSTIC MARKERS | PARAMETERS | receiver operating characteristic curve | AREAS
St0154 | Roccurve | Receiver operating characteristic curve | Comproc | comproc | REGRESSION | MAXIMUM-LIKELIHOOD ESTIMATION | st0154 | STATISTICS & PROBABILITY | roccurve | DIAGNOSTIC MARKERS | PARAMETERS | receiver operating characteristic curve | AREAS
Journal Article
Journal of Biomedical Informatics, ISSN 1532-0464, 2005, Volume 38, Issue 5, pp. 404 - 415
Receiver operating characteristic (ROC) curves are frequently used in biomedical informatics research to evaluate classification and prediction models for...
Receiver operating characteristic | Evaluation | Test accuracy | MEDICAL INFORMATICS | COMPUTER-PROGRAM | STATISTICS | DIAGNOSTIC-TESTS | CHARACTERISTIC ROC CURVES | ACCURACY | evaluation | test accuracy | METHODOLOGY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | AREA | SYSTEMS | receiver operating characteristic | SAMPLE-SIZE | RADIOLOGY | Risk Assessment - methods | Data Interpretation, Statistical | Models, Biological | Computer Simulation | Humans | Risk Factors | Diagnosis, Computer-Assisted - methods | ROC Curve | Biomedical Engineering - methods | Medical Informatics - methods | Healthcare industry software | Analysis | Prevalence studies (Epidemiology)
Receiver operating characteristic | Evaluation | Test accuracy | MEDICAL INFORMATICS | COMPUTER-PROGRAM | STATISTICS | DIAGNOSTIC-TESTS | CHARACTERISTIC ROC CURVES | ACCURACY | evaluation | test accuracy | METHODOLOGY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | AREA | SYSTEMS | receiver operating characteristic | SAMPLE-SIZE | RADIOLOGY | Risk Assessment - methods | Data Interpretation, Statistical | Models, Biological | Computer Simulation | Humans | Risk Factors | Diagnosis, Computer-Assisted - methods | ROC Curve | Biomedical Engineering - methods | Medical Informatics - methods | Healthcare industry software | Analysis | Prevalence studies (Epidemiology)
Journal Article
Canadian Journal of Emergency Medicine, ISSN 1481-8035, 2006, Volume 8, Issue 1, pp. 19 - 20
In this issue of the Journal, Auer and colleagues conclude that serum levels of neuron-specific enolase (NSE), a biochemical marker of ischemic brain injury,...
Sensitivity | Specificity | Diagnosis | Receiver operating characteristic curve | Heart Arrest - enzymology | Cardiopulmonary Resuscitation | Heart Arrest - mortality | Area Under Curve | Phosphopyruvate Hydratase - blood | Humans | Sensitivity and Specificity | Patient Discharge | ROC Curve | Biomarkers - blood | Heart Arrest - therapy | Measurement | Evaluation | Usage | Care and treatment | Ischemia | Medical tests | Diagnostic imaging | Enolase | Survival analysis | Statistical analysis | CPR | Cardiopulmonary resuscitation | Research methodology
Sensitivity | Specificity | Diagnosis | Receiver operating characteristic curve | Heart Arrest - enzymology | Cardiopulmonary Resuscitation | Heart Arrest - mortality | Area Under Curve | Phosphopyruvate Hydratase - blood | Humans | Sensitivity and Specificity | Patient Discharge | ROC Curve | Biomarkers - blood | Heart Arrest - therapy | Measurement | Evaluation | Usage | Care and treatment | Ischemia | Medical tests | Diagnostic imaging | Enolase | Survival analysis | Statistical analysis | CPR | Cardiopulmonary resuscitation | Research methodology
Journal Article
Statistical Methods in Medical Research, ISSN 0962-2802, 6/2018, Volume 27, Issue 6, pp. 1892 - 1908
Receiver operating-characteristic curve is a popular graphical method frequently used in order to study the diagnostic capacity of continuous (bio)markers. In...
specificity | sensitivity | Confidence bands | receiver operating-characteristic curve | bootstrap method | Construction standards | Biomedical materials | Computer simulation | Confidence | Characteristics | Graphical methods | Diagnostic systems | Practical aspects
specificity | sensitivity | Confidence bands | receiver operating-characteristic curve | bootstrap method | Construction standards | Biomedical materials | Computer simulation | Confidence | Characteristics | Graphical methods | Diagnostic systems | Practical aspects
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 11/2014, Volume 21, Issue 11, pp. 1389 - 1393
Among algorithms for comparing the areas under two or more correlated receiver operating characteristic (ROC) curves, DeLong's algorithm is perhaps the most...
DeLong's method | receiver operating characteristic (ROC) | Monte Carlo methods | Area under the curve (AUC) | mid-rank | Signal processing algorithms | Receivers | Vectors | Time complexity | Sun | Manganese | PERFORMANCE ANALYSIS | CHARACTERISTIC ROC CURVE | STATISTICS CORRELATION-COEFFICIENT | ENGINEERING, ELECTRICAL & ELECTRONIC | Correlation | Algorithms | Equivalence | Computer simulation | Mathematical analysis | Computational efficiency | Complexity
DeLong's method | receiver operating characteristic (ROC) | Monte Carlo methods | Area under the curve (AUC) | mid-rank | Signal processing algorithms | Receivers | Vectors | Time complexity | Sun | Manganese | PERFORMANCE ANALYSIS | CHARACTERISTIC ROC CURVE | STATISTICS CORRELATION-COEFFICIENT | ENGINEERING, ELECTRICAL & ELECTRONIC | Correlation | Algorithms | Equivalence | Computer simulation | Mathematical analysis | Computational efficiency | Complexity
Journal Article
Journal of Clinical Epidemiology, ISSN 0895-4356, 2015, Volume 68, Issue 8, pp. 855 - 859
Abstract Objectives Compare the area under the receiver operating characteristic curve (AUC) vs. the area under the precision–recall curve (AUPRC) in...
Internal Medicine | Rare events | Receiver operating curve | Area under the curve | Performance assessment | Binary biomarker | Precision-Recall curve | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | HEALTH CARE SCIENCES & SERVICES | Predictive Value of Tests | Prevalence | Area Under Curve | Humans | Sensitivity and Specificity | Biomarkers | Rare Diseases - epidemiology | ROC Curve | Confidence intervals | Medical imaging | Disease | Expected values
Internal Medicine | Rare events | Receiver operating curve | Area under the curve | Performance assessment | Binary biomarker | Precision-Recall curve | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | HEALTH CARE SCIENCES & SERVICES | Predictive Value of Tests | Prevalence | Area Under Curve | Humans | Sensitivity and Specificity | Biomarkers | Rare Diseases - epidemiology | ROC Curve | Confidence intervals | Medical imaging | Disease | Expected values
Journal Article
Statistical Methods in Medical Research, ISSN 0962-2802, 3/2018, Volume 27, Issue 3, pp. 651 - 674
The receiver operating characteristic curve is a popular graphical method often used to study the diagnostic capacity of continuous (bio)markers. When the...
specificity | discrimination | kernel density estimator | sensitivity | Censoring | receiver operating characteristic curve | MEDICAL INFORMATICS | MARKER | REGRESSION-MODELS | STATISTICS & PROBABILITY | BANDWIDTH SELECTION | KERNEL DENSITY-ESTIMATION | CENSORED SURVIVAL-DATA | HEALTH CARE SCIENCES & SERVICES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | ROC CURVES | Time dependence | Bivariate analysis | Parameters | Computer simulation | Dependent variables | Characteristics | Biomarkers | Diagnostic systems | Density | Monte Carlo simulation | Estimators
specificity | discrimination | kernel density estimator | sensitivity | Censoring | receiver operating characteristic curve | MEDICAL INFORMATICS | MARKER | REGRESSION-MODELS | STATISTICS & PROBABILITY | BANDWIDTH SELECTION | KERNEL DENSITY-ESTIMATION | CENSORED SURVIVAL-DATA | HEALTH CARE SCIENCES & SERVICES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | ROC CURVES | Time dependence | Bivariate analysis | Parameters | Computer simulation | Dependent variables | Characteristics | Biomarkers | Diagnostic systems | Density | Monte Carlo simulation | Estimators
Journal Article
10.
Full Text
Estimating the receiver operating characteristic curve in matched case control studies
Statistics in Medicine, ISSN 0277-6715, 02/2019, Volume 38, Issue 3, pp. 437 - 451
The matched case‐control design is frequently used in the study of complex disorders and can result in significant gains in efficiency, especially in the...
inverse probability weighting | biomarker discovery | matched case control studies | receiver operating characteristic (ROC) curve | AUC | MEDICINE, RESEARCH & EXPERIMENTAL | RISK PREDICTION | MEDICAL INFORMATICS | VALIDATION | CLASSIFICATION ACCURACY | STATISTICS & PROBABILITY | BREAST-CANCER | BIOMARKERS | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | MODELS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | EFFICIENCY
inverse probability weighting | biomarker discovery | matched case control studies | receiver operating characteristic (ROC) curve | AUC | MEDICINE, RESEARCH & EXPERIMENTAL | RISK PREDICTION | MEDICAL INFORMATICS | VALIDATION | CLASSIFICATION ACCURACY | STATISTICS & PROBABILITY | BREAST-CANCER | BIOMARKERS | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | MODELS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | EFFICIENCY
Journal Article
Statistical Methods in Medical Research, ISSN 0962-2802, 2/2017, Volume 26, Issue 1, pp. 113 - 123
The receiver operating characteristic curve is a popular graphical method frequently used in order to study the diagnostic capacity of continuous markers. It...
asymptotic distribution | area under the curve | resampling methods | receiver operating characteristic curve | MORTALITY | MEDICAL INFORMATICS | HEALTH CARE SCIENCES & SERVICES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | RISK | STATISTICS & PROBABILITY | Area Under Curve | Humans | Probability | Migraine Disorders - drug therapy | Sepsis - mortality | Botulinum Toxins, Type A - therapeutic use | Critical Illness - mortality | Migraine Disorders - blood | Biomarkers | Female | ROC Curve | Calcitonin Gene-Related Peptide - blood | Leukocyte Count | Child | Uniforms | Biomedical research | Characteristics | False positive results | Graphical methods | Values | Statistical methods | Diagnostic systems | Medical research | Cut-off | Consistency | Receivers | Markers | Estimators
asymptotic distribution | area under the curve | resampling methods | receiver operating characteristic curve | MORTALITY | MEDICAL INFORMATICS | HEALTH CARE SCIENCES & SERVICES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | RISK | STATISTICS & PROBABILITY | Area Under Curve | Humans | Probability | Migraine Disorders - drug therapy | Sepsis - mortality | Botulinum Toxins, Type A - therapeutic use | Critical Illness - mortality | Migraine Disorders - blood | Biomarkers | Female | ROC Curve | Calcitonin Gene-Related Peptide - blood | Leukocyte Count | Child | Uniforms | Biomedical research | Characteristics | False positive results | Graphical methods | Values | Statistical methods | Diagnostic systems | Medical research | Cut-off | Consistency | Receivers | Markers | Estimators
Journal Article
The Canadian Journal of Psychiatry, ISSN 0706-7437, 2/2007, Volume 52, Issue 2, pp. 121 - 128
It is often necessary to dichotomize a continuous scale to separate respondents into normal and abnormal groups. However, because the distributions of the...
Sensitivity | Specificity | Receiver operating characteristic | Area under the curve | ROC | Test performance | Diagnosis | AUC | test performance | AREA | PSYCHIATRY | specificity | diagnosis | PSYCHOLOGICAL DISTRESS | SCREENING SCALES | area under the curve | sensitivity | receiver operating characteristic | Psychology - methods | Mental Disorders - epidemiology | Humans | Sensitivity and Specificity | Psychology - statistics & numerical data | ROC Curve | Mental Disorders - diagnosis | Psychological tests | Parameter estimation | Sample size | Diagnostic tests | Testing
Sensitivity | Specificity | Receiver operating characteristic | Area under the curve | ROC | Test performance | Diagnosis | AUC | test performance | AREA | PSYCHIATRY | specificity | diagnosis | PSYCHOLOGICAL DISTRESS | SCREENING SCALES | area under the curve | sensitivity | receiver operating characteristic | Psychology - methods | Mental Disorders - epidemiology | Humans | Sensitivity and Specificity | Psychology - statistics & numerical data | ROC Curve | Mental Disorders - diagnosis | Psychological tests | Parameter estimation | Sample size | Diagnostic tests | Testing
Journal Article
Statistical Methods in Medical Research, ISSN 0962-2802, 7/2019, Volume 28, Issue 7, pp. 2032 - 2048
Diagnostic procedures are based on establishing certain conditions and then checking if those conditions are satisfied by a given individual. When the...
asymptotic distribution | Receiver operating characteristic curve generalization | non-parametric estimation | parametric estimation | MEDICAL INFORMATICS | HEALTH CARE SCIENCES & SERVICES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | ROC CURVE | STATISTICS & PROBABILITY | Discrimination | Characteristics | Subsets | Classification | Diagnostic software | Diagnostic systems | Decision analysis | Estimators
asymptotic distribution | Receiver operating characteristic curve generalization | non-parametric estimation | parametric estimation | MEDICAL INFORMATICS | HEALTH CARE SCIENCES & SERVICES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | ROC CURVE | STATISTICS & PROBABILITY | Discrimination | Characteristics | Subsets | Classification | Diagnostic software | Diagnostic systems | Decision analysis | Estimators
Journal Article
IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, 04/2008, Volume 5, Issue 2, pp. 251 - 255
Many researchers have presented results showing the empirical performance of target detection algorithms using hyperspectral or synthetic aperture radar...
receiver operating characteristic (ROC) curves | Confidence intervals | Image analysis | target detection | Statistical distributions | Radar detection | Object detection | Performance analysis | confidence regions | Detection algorithms | Bars | Biomedical imaging | Hyperspectral imaging | GEOCHEMISTRY & GEOPHYSICS | REMOTE SENSING | IMAGERY | confidence intervals | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Mathematical analysis | Receivers | Empirical analysis | Estimates | Synthetic aperture radar | Computer programs
receiver operating characteristic (ROC) curves | Confidence intervals | Image analysis | target detection | Statistical distributions | Radar detection | Object detection | Performance analysis | confidence regions | Detection algorithms | Bars | Biomedical imaging | Hyperspectral imaging | GEOCHEMISTRY & GEOPHYSICS | REMOTE SENSING | IMAGERY | confidence intervals | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Mathematical analysis | Receivers | Empirical analysis | Estimates | Synthetic aperture radar | Computer programs
Journal Article
Analytical Chemistry, ISSN 0003-2700, 03/2017, Volume 89, Issue 6, pp. 3606 - 3612
We report a quantitative approach to optimize implementation of discovery-based software for comprehensive two-dimensional gas chromatography coupled with...
FISHER RATIO ANALYSIS | SEPARATIONS | CHEMISTRY, ANALYTICAL | METABOLITES | ROC-CURVE | WATER | Gas chromatography | Usage | Chemistry, Analytic | Research | Time-of-flight mass spectrometry | Diesel fuels
FISHER RATIO ANALYSIS | SEPARATIONS | CHEMISTRY, ANALYTICAL | METABOLITES | ROC-CURVE | WATER | Gas chromatography | Usage | Chemistry, Analytic | Research | Time-of-flight mass spectrometry | Diesel fuels
Journal Article
The Stata Journal, ISSN 1536-867X, 1/2017, Volume 17, Issue 4, pp. 1015 - 1023
Receiver operating characteristic (ROC) curves are an established method for assessing the predictive capacity of a continuous biomarker for a binary outcome....
survival ROC | receiver operating characteristic curves | st0509 | stroccurve | STATISTICS & PROBABILITY | SOCIAL SCIENCES, MATHEMATICAL METHODS | time-dependent outcome
survival ROC | receiver operating characteristic curves | st0509 | stroccurve | STATISTICS & PROBABILITY | SOCIAL SCIENCES, MATHEMATICAL METHODS | time-dependent outcome
Journal Article
Biometrics, ISSN 0006-341X, 03/2006, Volume 62, Issue 1, pp. 221 - 229
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It is expected that the results of multiple markers will...
Discriminant analysis | Logistic | Receiver operating characteristic curve | Likelihood | Classification | Biometrics | Logistic regression | Generalized linear model | Objective functions | Regression analysis | Biological markers | Modeling | Estimators | Consistent estimators | Logistics | REGRESSION | TESTS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | discriminant analysis | logistic | likelihood | RANK CORRELATION ESTIMATOR | BIOLOGY | STATISTICS & PROBABILITY | classification | receiver operating characteristic curve | CANCER | Predictive Value of Tests | Humans | Linear Models | ROC Curve | Risk | Neoplasms - diagnosis | Biomarkers, Tumor
Discriminant analysis | Logistic | Receiver operating characteristic curve | Likelihood | Classification | Biometrics | Logistic regression | Generalized linear model | Objective functions | Regression analysis | Biological markers | Modeling | Estimators | Consistent estimators | Logistics | REGRESSION | TESTS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | discriminant analysis | logistic | likelihood | RANK CORRELATION ESTIMATOR | BIOLOGY | STATISTICS & PROBABILITY | classification | receiver operating characteristic curve | CANCER | Predictive Value of Tests | Humans | Linear Models | ROC Curve | Risk | Neoplasms - diagnosis | Biomarkers, Tumor
Journal Article
Perspectives in Clinical Research, ISSN 2229-3485, 07/2018, Volume 9, Issue 3, pp. 145 - 148
In the previous two articles in this series on biostatistics, we examined the properties of diagnostic tests and various measures of their performance in...
specificity | Biostatistics | sensitivity | receiver operating characteristic curve | Medical tests | Antigens | Infections | Surveillance | Diagnostic tests | Blood tests | Statistics
specificity | Biostatistics | sensitivity | receiver operating characteristic curve | Medical tests | Antigens | Infections | Surveillance | Diagnostic tests | Blood tests | Statistics
Journal Article