Medical Risk Prediction Models av Thomas A. Gerds, Michael W. Kattan

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<p><strong>Medical Risk Prediction Models: With Ties to Machine Learning</strong> is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient¿s individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest.</p><p></p><b><p>Features:</p></b><ul><b></b><p></p><li>All you need to know to correctly make an online risk calculator from scratch</li><p></p><p></p><li>Discrimination, calibration, and predictive performance with censored data and competing risks</li><p></p><p></p><li>R-code and illustrative examples</li><p></p><p></p><li>Interpretation of pr