[Télécharger] The Statistical Evaluation of Medical Tests for Classification and Prediction de Margaret Sullivan Pepe PDF Ebook En Ligne

Télécharger The Statistical Evaluation of Medical Tests for Classification and Prediction de Margaret Sullivan Pepe Pdf Epub

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Télécharger "The Statistical Evaluation of Medical Tests for Classification and Prediction" de Margaret Sullivan Pepe Livres Pdf Epub


Auteur : Margaret Sullivan Pepe
Catégorie : Livres anglais et étrangers,Medicine,Internal Medicine
Broché : * pages
Éditeur : *
Langue : Français, Anglais


This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.

Télécharger The Statistical Evaluation of Medical Tests for Classification and Prediction de Margaret Sullivan Pepe Livre PDF Gratuit


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The Statistical Evaluation of Medical Tests for ~ 1. Introduction 2. Measures of Accuracy for Binary Tests 3. Comparing Binary Tests and Regression Analysis 4. The Receiver Operating Characteristic Curve 5. Estimating the ROC Curve 6. Covariate Effects on Continuous and Ordinal Tests 7. Incomplete Data and Imperfect Reference Tests 8. Study Design and Hypothesis Testing 9. More Topics and Conclusions References/Bibliography Index

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The Statistical Evaluation of Medical Tests for ~ The Statistical Evaluation of Medical Tests for Classification and Prediction Margaret Sullivan Pepe Oxford Statistical Science Series. Includes worked examples along with data and code, which provides the reader with easy implementation of methods

2. The statistical evaluation of medical tests for ~ The statistical evaluation of medical tests for classification and prediction. Margaret Sullivan Pepe, Oxford University Press, Oxford, 2003. No. of pages: xvi + 302. Price: £65.00, $124.50 (Hardback); £39.50, $69.50 (Paperback). ISBN: 0‐19‐850984‐7 (Hardback), 0‐19‐856582‐8 (Paperback) Paul Glasziou. Department of Primary Health Care, Centre for Evidence‐Based Medicine .

The Statistical Evaluation of Medical Tests for ~ Describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and various technologies for classification and prediction in medicine.

The Statistical Evaluation of Medical Tests for ~ Medical books The Statistical Evaluation of Medical Tests for Classification and Prediction . More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and the Receiver Operating Characteristic .

The Statistical Evaluation of Medical Tests for ~ This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and .

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The statistical evaluation of medical tests for ~ Get this from a library! The statistical evaluation of medical tests for classification and prediction. [Margaret Sullivan Pepe] -- Describes the statistical concepts and techniques for evaluating the accuracy of medical tests. Main topics include: estimation and comparison of measures of accuracy, including receiver operating .

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The Statistical Evaluation of Medical Tests for ~ This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and .

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The Statistical Evaluation of Medical Tests for ~ Includes worked examples along with data and code, which provides the reader with easy implementation of methods Addresses issues in study design and.

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