about
Linear combination methods to improve diagnostic/prognostic accuracy on future observations.Development of a Luminex Bead Based Assay for Diagnosis of Toxocariasis Using Recombinant Antigens Tc-CTL-1 and Tc-TES-26.Connectivity measures are robust biomarkers of cortical function and plasticity after stroke.Utility of EEG measures of brain function in patients with acute stroke.Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference-test.An mRNA Gene Expression-Based Signature to Identify FGFR1-Amplified Estrogen Receptor-Positive Breast Tumors.Bayesian modeling and inference for diagnostic accuracy and probability of disease based on multiple diagnostic biomarkers with and without a perfect reference standard.Development of a diagnostic test based on multiple continuous biomarkers with an imperfect reference test.Combining large number of weak biomarkers based on AUC.Electroencephalographic connectivity measures predict learning of a motor sequencing task.Combining multiple biomarkers linearly to maximize the partial area under the ROC curve.Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior.
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
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2010年學術文章
@zh-hant
name
Optimal Combinations of Diagnostic Tests Based on AUC.
@en
Optimal Combinations of Diagnostic Tests Based on AUC.
@nl
type
label
Optimal Combinations of Diagnostic Tests Based on AUC.
@en
Optimal Combinations of Diagnostic Tests Based on AUC.
@nl
prefLabel
Optimal Combinations of Diagnostic Tests Based on AUC.
@en
Optimal Combinations of Diagnostic Tests Based on AUC.
@nl
P2860
P1433
P1476
Optimal Combinations of Diagnostic Tests Based on AUC.
@en
P2093
Gengsheng Qin
P2860
P304
P356
10.1111/J.1541-0420.2010.01450.X
P407
P50
P577
2010-06-16T00:00:00Z