<p>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 prediction, but&nbsp; a sensible strategy is needed for model development, validation, and updat...

PrefaceviiAcknowledgementsxiChapter 1Introduction11.1Diagnosis, prognosis and therapy choice in medicine11.1.1Predictions for personalized evidence-based medicine11.2Statistical modeling for prediction51.2.1Model assumptions51.2.2Reliability of predictions: aleatory and epistemic uncertainty61.2.3Sample size61.3Structure of the book81.3.1Part I: Prediction models in medicine81.3.2Part II: Developi...

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 prediction, but a sensible strategy is needed for model development, validation, and updating, suc...

PrefaceviiAcknowledgementsxiChapter 1Introduction11.1Diagnosis, prognosis and therapy choice in medicine11.1.1Predictions for personalized evidence-based medicine11.2Statistical modeling for prediction51.2.1Model assumptions51.2.2Reliability of predictions: aleatory and epistemic uncertainty61.2.3Sample size61.3Structure of the book81.3.1Part I: Prediction models in medicine81.3.2Part II: Developi...

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 prediction, but a sensible strategy is needed for model development, validation, and updating, suc...

PrefaceviiAcknowledgementsxiChapter 1Introduction11.1Diagnosis, prognosis and therapy choice in medicine11.1.1Predictions for personalized evidence-based medicine11.2Statistical modeling for prediction51.2.1Model assumptions51.2.2Reliability of predictions: aleatory and epistemic uncertainty61.2.3Sample size61.3Structure of the book81.3.1Part I: Prediction models in medicine81.3.2Part II: Developi...