Estimation of smooth ROC curves for biomarkers with limits of detection.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7394
Abstract: Protein biomarkers found in plasma are commonly used for cancer screening and early detection. Measurements obtained by such markers are often based on different assays that may not support detection of accurate measurements due to… read more here.
Keywords: roc curve; detection; roc; smooth roc ... See more keywords
Determining Novel Urinary Biomarkers for Acute Kidney Injury and Prediction of Clinical Outcomes After Pediatric Cardiac Surgery
Sign Up to like & getrecommendations! Published in 2020 at "Pediatric Cardiology"
DOI: 10.1007/s00246-020-02349-4
Abstract: We read with interest the recent article by Yoneyama et al. [1] determining two novel urinary biomarkers for acute kidney injury (AKI) and prediction of clinical outcomes following pediatric cardiac surgery. However, we noted two… read more here.
Keywords: roc curve; analysis; postoperative adverse; cardiac surgery ... See more keywords
ROC and AUC with a Binary Predictor: a Potentially Misleading Metric
Sign Up to like & getrecommendations! Published in 2020 at "Journal of classification"
DOI: 10.1007/s00357-019-09345-1
Abstract: In analysis of binary outcomes, the receiver operator characteristic (ROC) curve is heavily used to show the performance of a model or algorithm. The ROC curve is informative about the performance over a series of… read more here.
Keywords: roc auc; curve; roc; predictor ... See more keywords
ROC curve analysis: a useful statistic multi-tool in the research of nephrology
Sign Up to like & getrecommendations! Published in 2024 at "International Urology and Nephrology"
DOI: 10.1007/s11255-024-04022-8
Abstract: In the past decade, scientific research in the area of Nephrology has focused on evaluating the clinical utility and performance of various biomarkers for diagnosis, risk stratification and prognosis. Before implementing a biomarker in everyday… read more here.
Keywords: nephrology roc; curve analysis; research; roc curve ... See more keywords
Receiver Operating Characteristic (ROC) Analysis of Image Search-and-Localize Tasks.
Sign Up to like & getrecommendations! Published in 2020 at "Academic radiology"
DOI: 10.1016/j.acra.2019.12.020
Abstract: RATIONALE AND OBJECTIVES Receiver operating characteristic (ROC) analysis for the common image search-and-localize task, in which readers search an image for lesion or lesions not knowing a priori any exists, has been studied for over… read more here.
Keywords: roc curve; image; roc; lroc curve ... See more keywords
Discovery of lipid biomarkers between bovine colostrum and milk using UHPLC-Q-TOF-MS lipidomics
Sign Up to like & getrecommendations! Published in 2021 at "International Dairy Journal"
DOI: 10.1016/j.idairyj.2021.105091
Abstract: ABSTRACT Sixty-three significantly different lipids from bovine colostrum (BC) and bovine milk (BM) were quantified using ultra-high-performance liquid chromatography-Q exactive orbitrap-mass spectrometry lipidomics and selected based criteria that included area under curve (AUC) value of… read more here.
Keywords: milk; roc curve; lipid biomarkers; bovine colostrum ... See more keywords
Evaluation of a few discrete clinical markers may predict categorization of actively symptomatic non-acute schizophrenia patients as treatment resistant or responders: A study by ROC curve analysis and multivariate analyses
Sign Up to like & getrecommendations! Published in 2018 at "Psychiatry Research"
DOI: 10.1016/j.psychres.2018.08.109
Abstract: Here, we used Receiver Operating Characteristic (ROC) curve analysis to determine whether clinical factors may aid predicting the categorization of schizophrenia patients as Treatment Resistant (TRS) or antipsychotic responsive schizophrenia (ARS). Patients with an established… read more here.
Keywords: roc curve; patients treatment; analysis; schizophrenia patients ... See more keywords
Identification of risk factors in epidemiologic study based on ROC curve and network
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep46655
Abstract: This article proposes a new non-parametric approach for identification of risk factors and their correlations in epidemiologic study, in which investigation data may have high variations because of individual differences or correlated risk factors. First,… read more here.
Keywords: identification risk; roc curve; risk; risk factors ... See more keywords
ROC Curve Analysis of the Sensitivity and Specificity of Biochemical Detection of Intrahepatic Cholestasis during Pregnancy.
Sign Up to like & getrecommendations! Published in 2020 at "Zeitschrift fur Geburtshilfe und Neonatologie"
DOI: 10.1055/a-1299-2298
Abstract: INTRODUCTION Intrahepatic cholestasis of pregnancy (ICP) is associated with an increased risk of adverse pregnancy outcomes in mothers and infants. The aim was to evaluate the sensitivity and specificity of biochemical detection of ICP by… read more here.
Keywords: sensitivity; roc curve; pregnancy; sensitivity specificity ... See more keywords
The diagnostic accuracy of quality control rules
Sign Up to like & getrecommendations! Published in 2024 at "Scandinavian Journal of Clinical and Laboratory Investigation"
DOI: 10.1080/00365513.2024.2359085
Abstract: Abstract Internal quality control in clinical chemistry laboratories are based on analyzing samples of stable control materials among the patient samples. The control results are interpreted by using quality control rules that usually are designed… read more here.
Keywords: quality control; control rules; control; roc curve ... See more keywords
Optimization of functional diagnostic test: the effect of kernel method as an estimator of ROC curve
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2024.2309951
Abstract: Technical development over the last few decades has resulted in the emergence of complex data, in many cases functional data (FD). This type of data can emerge in many medical studies which are geared towards… read more here.
Keywords: estimator roc; roc; diagnostic test; roc curve ... See more keywords