Clinical Prediction Models
Features, in this new edition, a discussion of Big Data and its implications of the design of prediction modelsIncludes, in this new edition, new case studies, more simulations with missing "y" values, description of ShinyApp, and morePresents a practical checklist to be consulted for the development of a valid prediction model, ideal for clinical epidemiologists and biostatisticians alike
| Autor: | Steyerberg, Ewout W. |
|---|---|
| ISBN: | 9783030163983 |
| Auflage: | 2 |
| Sprache: | Englisch |
| Seitenzahl: | 558 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 01.08.2019 |
| Untertitel: | A Practical Approach to Development, Validation, and Updating |
| Schlagworte: | Anästhesie-Informations-Management-System Data-analysis Evidence-Based Medicine Prediction Radiologieinformationssystem Regression modeling Validation coding data analysis diagnosis |
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.