Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data. - Wikidata - wikimedia - TriplyDB

Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data.

Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data.

http://www.wikidata.org/entity/Q34356329

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Using Dual Beta Distributions to Create "Proper" ROC Curves Based on Rating Category Data.The Effectiveness of Sanitary Inspections as a Risk Assessment Tool for Thermotolerant Coliform Bacteria Contamination of Rural Drinking Water: A Review of Data from West Bengal, India.A Circulating MicroRNA Signature Capable of Assessing the Risk of Hepatocellular Carcinoma in Cirrhotic Patients.Hospital stay as a proxy indicator for severe injury in earthquakes: a retrospective analysis Flexible regression models for ROC and risk analysis, with or without a gold standard.

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P2860

Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data.

http://www.wikidata.org/entity/Q34356329

description

2012 nî lūn-bûn

@nan

2012 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2012年の論文

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2012年論文

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2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

name

Comparison of semiparametric, ...... acute coronary syndrome data.

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Comparison of semiparametric, ...... acute coronary syndrome data.

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Comparison of semiparametric, ...... acute coronary syndrome data.

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type

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Comparison of semiparametric, ...... acute coronary syndrome data.

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Comparison of semiparametric, ...... acute coronary syndrome data.

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Comparison of semiparametric, ...... acute coronary syndrome data.

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Comparison of semiparametric, ...... acute coronary syndrome data.

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Comparison of semiparametric, ...... acute coronary syndrome data.

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Computational and Mathematical Methods in Medicine

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Comparison of semiparametric, ...... acute coronary syndrome data.

@en

P2093

Bulent Gok

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Cengiz Bal

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Ertugrul Colak

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Fezan Mutlu

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Kazim Ozdamar

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Setenay Oner

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Yuksel Cavusoglu

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P2860

The meaning and use of the area under a receiver operating characteristic (ROC) curve

Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data.

Analyzing a portion of the ROC curve.

Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models.

Basic principles of ROC analysis.

Distribution-free ROC analysis using binary regression techniques.

Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test.

Smooth non-parametric receiver operating characteristic (ROC) curves for continuous diagnostic tests.

Smooth semiparametric receiver operating characteristic curves for continuous diagnostic tests.

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10.1155/2012/698320

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2012

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2012-06-28T00:00:00Z

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