Abstract
In this Introduction, the concepts of diagnosis, prognosis and therapy choice are presented. Predictions are essential for personalized evidence-based medicine. Predictions come from statistical models or algorithms that may be developed with more stringent or more relaxed assumptions. The reliability of predictions suffers from aleatory and epistemic uncertainty, which relate to sample size and broader epidemiologic concepts of generalizability. Finally, the structure of the book is presented.
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Steyerberg, E.W. (2019). Introduction. In: Clinical Prediction Models. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-030-16399-0_1
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DOI: https://doi.org/10.1007/978-3-030-16399-0_1
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-16399-0
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