Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating

Features, in this new edition, a discussion of Big Data and its implications of the design of prediction models
Includes, in this new edition, new case studies, more simulations with missing "y" values, description of ShinyApp, and more
Presents a practical checklist to be consulted for the development of a valid prediction model, ideal for clinical epidemiologists and biostatisticians alike

Author: Ewout W. Steyerberg
Publisher: Springer
Published: 08/01/2019
Pages: 558
Binding Type: Hardcover
Weight: 2.15lbs
Size: 9.30h x 6.40w x 1.50d
ISBN13: 9783030163983
ISBN10: 3030163989
BISAC Categories:
- Medical | Internal Medicine
- Medical | Biostatistics
- Mathematics | Probability & Statistics | General

About the Author
Ewout Steyerberg worked for 25 years at Erasmus Medical Center in Rotterdam before moving to Leiden where he is now Professor of Clinical Biostatistics and Medical Decision Making and chair of the Department of Biomedical Data Sciences at Leiden University Medical Center. His research has covered a broad range of methodological and medical topics, which is reflected in hundreds of peer-reviewed methodological and applied publications. His methodological expertise is in the design and analysis of randomized controlled trials, cost-effectiveness analysis, and decision analysis. His methodological research focuses on the development, validation and updating of prediction models, as reflected in a textbook (Springer, 2009). His medical fields of application include oncology, cardiovascular disease, internal medicine, pediatrics, infectious diseases, neurology, surgery and traumatic brain injury.