Background
In this chapter, we consider several issues in the design of studies for prediction research. These include the selection of subjects or patients for a cohort study, strengths and limitations of case series from a single center, from registries, or prospective trials. We further discuss issues in choosing predictors and outcome variables for prediction models. An important question is often how large a study needs to be for sufficient statistical power. Power considerations are given for studying effects of specific predictors, and for developing a prediction model that can provide reliable predictions. We use several case studies for illustration.
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© 2009 Springer Science+Business Media, LLC
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Steyerberg, E. (2009). Study design for prediction models. In: Clinical Prediction Models. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77244-8_3
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DOI: https://doi.org/10.1007/978-0-387-77244-8_3
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-77243-1
Online ISBN: 978-0-387-77244-8
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