A comparison of parametric and nonparametric approaches to ROC analysis of quantitative diagnostic tests.
about
Methodological issues of confounding in analytical epidemiologic studiesUsing Dual Beta Distributions to Create "Proper" ROC Curves Based on Rating Category Data.StAR: a simple tool for the statistical comparison of ROC curves.Using the mean-to-sigma ratio as a measure of the improperness of binormal ROC curvesTrien conjugates, schiff bases, and ceruloplasmin concentrations as markers of the onset of the risk of autodermoplasty complications.Two-modality mammography may confer an advantage over either full-field digital mammography or screen-film mammography.Evaluation of Urine Aquaporin-1 and Perilipin-2 Concentrations as Biomarkers to Screen for Renal Cell Carcinoma: A Prospective Cohort Study.The alcohol use disorders identification test (AUDIT): validation of a Nepali version for the detection of alcohol use disorders and hazardous drinking in medical settingsNeoplastic and stromal cells contribute to an extracellular matrix gene expression profile defining a breast cancer subtype likely to progress.Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation.Sample size estimation in epidemiologic studiesThe choice of methods in determining the optimal cut-off value for quantitative diagnostic test evaluation.Locomotor Performance During Rehabilitation of People With Lower Limb Amputation and Prosthetic Nonuse 12 Months After Discharge.Estimating the Area Under ROC Curve When the Fitted Binormal Curves Demonstrate Improper Shape.Where to go if not the hospital? Reviewing geriatric bed utilization in an acute care hospital in Singapore.The accuracy of presepsin (sCD14-ST) for the diagnosis of sepsis in adults: a meta-analysis.Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models.Classifier performance prediction for computer-aided diagnosis using a limited datasetBounding Sample Size Projections for the Area Under a ROC Curve.Estimation of the area under the ROC curve.Tissue-level thresholds for axonal damage in an experimental model of central nervous system white matter injury.Comparing statistics for objective detection of transient and steady-state evoked responses in newborns.Further validation of a measure of injury-related injustice perceptions to identify risk for occupational disability: a prospective study of individuals with whiplash injury.A new parametric method based on S-distributions for computing receiver operating characteristic curves for continuous diagnostic tests.Evaluation of 2 measures of psychological distress as screeners for depression in the general population.The Vietnamese version of the Self Reporting Questionnaire 20 (SRQ-20) in detecting mental disorders in rural Vietnam: a validation study.Restenosis and symptom recurrence after endovascular therapy for claudication: does duplex ultrasound correlate with recurrent claudication?Oncothermia as Personalized Treatment Option
P2860
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P2860
A comparison of parametric and nonparametric approaches to ROC analysis of quantitative diagnostic tests.
description
1997 nî lūn-bûn
@nan
1997年の論文
@ja
1997年学术文章
@wuu
1997年学术文章
@zh
1997年学术文章
@zh-cn
1997年学术文章
@zh-hans
1997年学术文章
@zh-my
1997年学术文章
@zh-sg
1997年學術文章
@yue
1997年學術文章
@zh-hant
name
A comparison of parametric and ...... quantitative diagnostic tests.
@en
A comparison of parametric and ...... quantitative diagnostic tests.
@nl
type
label
A comparison of parametric and ...... quantitative diagnostic tests.
@en
A comparison of parametric and ...... quantitative diagnostic tests.
@nl
prefLabel
A comparison of parametric and ...... quantitative diagnostic tests.
@en
A comparison of parametric and ...... quantitative diagnostic tests.
@nl
P2093
P2860
P1476
A comparison of parametric and ...... quantitative diagnostic tests.
@en
P2093
J A Hanley
J P Collet
K O Hajian-Tilaki
P2860
P304
P356
10.1177/0272989X9701700111
P577
1997-01-01T00:00:00Z