Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data.
about
Normalization of low-density microarray using external spike-in controls: analysis of macrophage cell lines expression profileAssociation study between single-nucleotide polymorphisms in 199 drug-related genes and commonly measured quantitative traits of 752 healthy Japanese subjectspROC: an open-source package for R and S+ to analyze and compare ROC curvesSpectro-temporal weighting of loudness.Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer.A new automated method for the segmentation and characterization of breast masses on ultrasound images.The three-class ideal observer for univariate normal data: Decision variable and ROC surface propertiesNon-invasive score identifies ultrasonography-diagnosed non-alcoholic fatty liver disease and predicts mortality in the USA.Validation of Monte Carlo estimates of three-class ideal observer operating points for normal dataStatistical validation based on parametric receiver operating characteristic analysis of continuous classification data.Using Dual Beta Distributions to Create "Proper" ROC Curves Based on Rating Category Data.Comparison of semiparametric receiver operating characteristic models on observer data.A Bayesian hierarchical non-linear regression model in receiver operating characteristic analysis of clustered continuous diagnostic data.Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal.StAR: a simple tool for the statistical comparison of ROC curves.Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experimentsConsistency of methods for analysing location-specific dataComputer-aided detection system for breast masses on digital tomosynthesis mammograms: preliminary experience.Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method and 3D ellipsoid fitting.Methods for Assessing Improvement in Specificity when a Biomarker is Combined with a Standard Screening Test.Reducing decision errors in the paired comparison of the diagnostic accuracy of screening tests with Gaussian outcomes.An equivalent relative utility metric for evaluating screening mammography.A model building exercise of mortality risk for Taiwanese women with breast cancer.Learning a channelized observer for image quality assessmentDimensionality estimation for optimal detection of functional networks in BOLD fMRI data.Myocardial perfusion SPECT using a rotating multi-segment slant-hole collimatorSTEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.Automated detection of breast mass spiculation levels and evaluation of scheme performanceDual-energy subtraction imaging for diagnosing vocal cord paralysis with flat panel detector radiographyPursuing optimal thresholds to recommend breast biopsy by quantifying the value of tomosynthesis.On the convexity of ROC curves estimated from radiological test resultsComputerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers.Semi-parametric area under the curve regression method for diagnostic studies with ordinal data.Kinetic curves of malignant lesions are not consistent across MRI systems: need for improved standardization of breast dynamic contrast-enhanced MRI acquisition.Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions.Retrieval boosted computer-aided diagnosis of clustered microcalcifications for breast cancerAn additive selection of markers to improve diagnostic accuracy based on a discriminatory measure.Cross-reactivities between human IgMs and the four serotypes of dengue virus as probed with artificial homodimers of domain-III from the envelope proteins.Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data.Assessment of metabolic phenotypes in patients with non-ischemic dilated cardiomyopathy undergoing cardiac resynchronization therapy.
P2860
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P2860
Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data.
description
1998 nî lūn-bûn
@nan
1998 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
1998 թվականի մայիսին հրատարակված գիտական հոդված
@hy
1998年の論文
@ja
1998年論文
@yue
1998年論文
@zh-hant
1998年論文
@zh-hk
1998年論文
@zh-mo
1998年論文
@zh-tw
1998年论文
@wuu
name
Maximum likelihood estimation ...... continuously-distributed data.
@ast
Maximum likelihood estimation ...... continuously-distributed data.
@en
type
label
Maximum likelihood estimation ...... continuously-distributed data.
@ast
Maximum likelihood estimation ...... continuously-distributed data.
@en
prefLabel
Maximum likelihood estimation ...... continuously-distributed data.
@ast
Maximum likelihood estimation ...... continuously-distributed data.
@en
P2093
P1476
Maximum likelihood estimation ...... continuously-distributed data.
@en
P2093
P304
P356
10.1002/(SICI)1097-0258(19980515)17:9<1033::AID-SIM784>3.0.CO;2-Z
P407
P577
1998-05-01T00:00:00Z