The Statistical Evaluation of Medical Tests for Classification and Prediction

AvMargaret Sullivan Pepe

Häftad, Engelska, 2004

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Beskrivning

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.Readership: Researchers and students in biostatistics (medical statistics), statistics, medical science, public health and clinical research.

Produktinformation

Utgivningsdatum:2004-10-07
Mått:158 x 233 x 18 mm
Vikt:474 g
Format:Häftad
Språk:Engelska
Serie:Oxford Statistical Science Series
Antal sidor:320
Förlag:OUP OXFORD
ISBN:9780198565826

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Recensioner i media

Statistical results are given a methodical treatment. In each chapter statistical results are motivated, stated and usually proven, and then illustrated on a variety of datasets based on actual trials. Many of the results were developed by Pepe and her colleagues, who have advanced the field in seminal ways. Chapters end with a concluding remarks section, a set of exercises, and proofs of more involved theoretical results, when needed. Concluding remarks sections nicely summarize results and discuss open research questions. References to key papers are given throughout. This structure allows the book to serve as both a classroom text and an excellent reference to the current literature.

Innehållsförteckning

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