Prediction of a binary outcome:30-day mortality after acute myocardial infarction

  • E.W. Steyerberg
Part of the Statistics for Biology and Health book series (SBH)


Binary outcomes are encountered in many medical prediction problems, including diagnostic problems (presence of disease) and prognostic outcomes (occurrence of complications, short-term mortality). In this book, one key example of a binary outcome is 30-day mortality in patients suffering from an acute myocardial infarction. A prediction model was developed in over 40,000 patients from the GUSTO-I trial. We review the development of this model according to the seven steps of the checklist for developing valid prediction models presented in Part II. In addition we discuss design and results of a number of methodological studies that were performed in the GUSTO-I data set.


Acute Myocardial Infarction Thrombolytic Therapy Killip Class Single Imputation Baseline Clinical Data 
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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • E.W. Steyerberg
    • 1
  1. 1.Department of Public HealthErasmus MCRotterdamThe Netherlands

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