Handbook of Evaluation of Diagnostic Tests and Predictions

Many different statistical methods have been developed for predicting the disease classes of patients. However, in order to have confidence in the results of such methods, their performance needs to be assessed. This handbook includes articles by the leading researchers in this area.

Sommario

Fundamental Concepts and Metrics of Diagnostic and Predictive Accuracy. Evaluation of Diagnostic Performance via ROC Analysis. Evaluation of Predictive Performance. Evaluation of the Impact of Tests on Outcomes. Tests and Biomarkers in Therapy Studies. General Methodologic Considerations. Research Synthesis Methodology.

Info autore

Constantine Gatsonis is the founding Director of the Brown University Center for Statistical Sciences and the founding Chair of the Department of Biostatistics. Dr. Gatsonis is a leading authority on the evaluation of diagnostic and screening tests, and has made major contributions to the development of methods for medical technology assessment and health services and outcomes research. He is a world leader in methods for applying and synthesizing evidence on diagnostic tests in medicine and is currently developing methods for Comparative Effectiveness Research in diagnosis and prediction.

Riassunto

Many different statistical methods have been developed for predicting the disease classes of patients. However, in order to have confidence in the results of such methods, their performance needs to be assessed. This handbook includes articles by the leading researchers in this area.

Dettagli sul prodotto

• Autori: Constantine (Brown University Gatsonis
• Con la collaborazione di: Constantine Gatsonis (Editore), Constantine (Brown University Gatsonis (Editore), Lisa Meier McShane (Editore), Lisa Meier (National Institute of Health McShane (Editore), Xiao-Hua Zhou (Editore)
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 31.12.2019, ritardato
• EAN: 9781498776905
• ISBN: 978-1-4987-7690-5
• Pagine: 600
• Serie: Chapman & Hall/CRC Handbooks of Modern Statistical Methods; Chapman & Hall/CRC Handbooks of Modern Statistical Methods
• Categoria: Scienze naturali, medicina, informatica, tecnica > Biologia