Meta-analysis of full ROC curves with flexible parametric distributions of diagnostic test values.
Sign Up to like & getrecommendations! Published in 2020 at "Research synthesis methods"
DOI: 10.1002/jrsm.1395
Abstract: Diagnostic accuracy studies often evaluate diagnostic tests at several threshold values, aiming to make recommendations on optimal thresholds for use in practice. Methods for meta-analysis of full receiver operating characteristic (ROC) curves have been proposed,… read more here.
Keywords: test values; diagnostic test; distributions diagnostic; roc curves ... See more keywords
A bivariate contaminated binormal model for robust fitting of proper ROC curves to a pair of correlated, possibly degenerate, ROC datasets
Sign Up to like & getrecommendations! Published in 2017 at "Medical Physics"
DOI: 10.1002/mp.12263
Abstract: Purpose The objective was to design and implement a bivariate extension to the contaminated binormal model (CBM) to fit paired receiver operating characteristic (ROC) datasets—possibly degenerate—with proper ROC curves. Paired datasets yield two correlated ratings… read more here.
Keywords: binormal model; roc; roc datasets; proper roc ... See more keywords
A New Test for Assessing the Covariate Effect in ROC Curves
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.70284
Abstract: The ROC curve is a statistical tool that analyzes the accuracy of a diagnostic test in which a variable is used to decide whether an individual is healthy or not. Along with that diagnostic variable,… read more here.
Keywords: test assessing; assessing covariate; roc; new test ... See more keywords
ROC curves for clinical prediction models: from waste of ink towards useful insight?
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Epidemiology"
DOI: 10.1016/j.jclinepi.2020.01.028
Abstract: Abstract Background Receiver operating characteristic (ROC) curves are widely used in reports on clinical risk prediction models to demonstrate the ability of a model to discriminate between patients with and without a certain condition. Objective:… read more here.
Keywords: ability; roc; prediction models; roc curves ... See more keywords
169. Development of a Real Time Electronic Algorithm to Identify Hospitalized Patients with Community-Acquired Pneumonia
Sign Up to like & getrecommendations! Published in 2020 at "Open Forum Infectious Diseases"
DOI: 10.1093/ofid/ofaa439.213
Abstract: Syndrome-based antibiotic stewardship can be limited by difficulty in finding cases for evaluation. We developed an electronic extraction algorithm to prospectively identify CAP patients. We included non-oncology patients ≥18 years old admitted to The Johns… read more here.
Keywords: 169 development; algorithm; true cap; roc curves ... See more keywords
ROC Solid: Receiver Operator Characteristic (ROC) Curves as a Foundation for Better Diagnostic Tests
Sign Up to like & getrecommendations! Published in 2018 at "Global Spine Journal"
DOI: 10.1177/2192568218778294
Abstract: An ROC curve describes the relationship between the sensitivity and specificity of a test by plotting the two against one another while varying the CV. It is helpful when the outcome of a diagnostic test… read more here.
Keywords: diagnostic test; roc; diagnostic tests; roc solid ... See more keywords
Alpha-Synuclein, cyclooxygenase-2 and prostaglandins-EP2 receptors as neuroinflammatory biomarkers of autism spectrum disorders: Use of combined ROC curves to increase their diagnostic values
Sign Up to like & getrecommendations! Published in 2021 at "Lipids in Health and Disease"
DOI: 10.1186/s12944-021-01578-7
Abstract: Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction and restricted and repetitive behaviors. Neuroinflammation and abnormal lipid mediators have been identified in multiple investigations as an acknowledged etiological… read more here.
Keywords: ep2 receptors; roc; combined roc; roc curves ... See more keywords
New improved gamma: Enhancing the accuracy of Goodman–Kruskal’s gamma using ROC curves
Sign Up to like & getrecommendations! Published in 2019 at "Behavior Research Methods"
DOI: 10.3758/s13428-018-1125-5
Abstract: For decades, researchers have debated the relative merits of different measures of people’s ability to discriminate the correctness of their own responses (resolution). The probabilistic approach, primarily led by Nelson, has advocated the Goodman–Kruskal gamma… read more here.
Keywords: kruskal gamma; goodman kruskal; using roc; roc curves ... See more keywords
[Application of ROC and PR curves in the evaluation of clinical diagnostic testing].
Sign Up to like & getrecommendations! Published in 2022 at "Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]"
DOI: 10.3760/cma.j.cn112150-20220104-00007
Abstract: This study reviewed the concepts and properties of the receiver operating characteristic (ROC) curve and precision recall (PR) curve, and made suggestions on the application of two curves based on the prevalence in combination with… read more here.
Keywords: roc curves; curve; application roc; curves evaluation ... See more keywords