Cantitate/Preț
Produs
Total produse
Vezi coșul
The Statistical Evaluation of Medical Tests for Classification and Prediction de Margaret Sullivan Pepe

The Statistical Evaluation of Medical Tests for Classification and Prediction: Oxford Statistical Science Series

Autor Margaret Sullivan Pepe
en Limba Engleză Paperback – 7 oct 2004
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 68047 lei  32-37 zile
  OUP OXFORD – 7 oct 2004 68047 lei  32-37 zile
Hardback (1) 140677 lei  32-37 zile
  OUP OXFORD – 13 mar 2003 140677 lei  32-37 zile

Din seria Oxford Statistical Science Series

Preț: 68047 lei

Preț vechi: 75345 lei
-10% Nou

Puncte Express: 1021
Preț estimativ în valută:
13022€ • 13578$ • 10823£

Carte tipărită la comandă

Livrare economică 10-15 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780198565826
ISBN-10: 0198565828
Pagini: 320
Ilustrații: numerous figures
Dimensiuni: 158 x 233 x 19 mm
Greutate: 0.47 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Seria Oxford Statistical Science Series

Locul publicării:Oxford, United Kingdom

Recenzii

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.
I very much recommend this book to a range of audiences, from those wanting an introduction to diagnostic test concepts and methods to active researchers in the area. This book is likely to stimulate considerable progress in development of new statistical methods for diagnostic tests, an area that relative to therapeutics has received little attention from biostatisticians.