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Evaluating Medical Tests: Objective and Quantitative Guidelines

Autor Helena Chmura Kraemer
en Limba Engleză Paperback – 12 mai 1992
In this book, Kraemer presents a systematic, objective methodology by which to determine the effectiveness of medical tests. She shows clearly and concisely how to define statistical terms and approaches consistently from study to study, how to stipulate statistical assumptions underlying various approaches, how to check for empirical validity and how to judge the robustness of statistical outcomes, resulting in models that integrate many different approaches and extend the strengths of each.
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Specificații

ISBN-13: 9780803946125
ISBN-10: 0803946120
Pagini: 296
Ilustrații: 1
Dimensiuni: 141 x 197 x 21 mm
Greutate: 0.42 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

"This volume is a pleasure to read. It succinctly combines carefully reasoned conceptualization with the mathematical methods for addressing test evaluation problems. With clinically relevant illustrative examples, it draws on the author’s extensive experience and research in biomedical statistics. It is a classic!" 

Cuprins

Introduction
Disorder and Diagnosis
Definition
Test Protocol, Response, Referent
Families of Test Referents
Population and Sampling
Sensitivity and Specificity
The Signal Detection Approach
Predictive Values
The Bayesian Approach, Risk Ratios and Odds Ratio
Efficiency
Choosing Clinically Optimal Tests
Taking Test Costs into Account
Costworthy Tests
Basic Issues in Using Multiple Tests
Evaluating Batteries of Medical Tests
Optimal Sequences
Evaluating Batteries of Medical Tests
Optimal Scores
Evaluating Batteries of Prognostic Tests with Variable Follow-Up Times
Evaluation of Medical Tests
The Past, Present and Future

Notă biografică


Descriere

In this book, Kraemer presents a systematic, objective methodology by which to determine the effectiveness of medical tests. She shows clearly and concisely how to define statistical terms and approaches consistently from study to study, how to stipulate statistical assumptions underlying various approaches, how to check for empirical validity and how to judge the robustness of statistical outcomes, resulting in models that integrate many different approaches and extend the strengths of each.