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

• Κύριος συγγραφέας: Steyerberg, Ewout W. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 2nd ed. 2019.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Statistics .; Internal medicine.; Statistics for Life Sciences, Medicine, Health Sciences.; Internal Medicine.

The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome...

Πίνακας περιεχομένων:

• Introduction
• Applications of prediction models.Study design for prediction modeling
• Statistical Models for Prediction
• Overfitting and optimism in prediction models
• Choosing between alternative statistical models
• Missing values
• Case study on dealing with missing values
• Coding of Categorical and Continuous Predictors
• Restrictions on candidate predictors
• Selection of main effects
• Assumptions in regression models: Additivity and linearity
• Modern estimation methods
• Estimation with external information
• Evaluation of performance
• Evaluation of Clinical Usefulness
• Validation of Prediction Models
• Presentation formats
• Patterns of external validity
• Updating for a new setting
• Updating for multiple settings
• Case study on a prediction of 30-day mortality
• Case study on Survival Analysis: prediction of cardiovascular events
• Overall lessons and data sets
• References.