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Study Design for Prediction Modeling

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Clinical Prediction Models

Part of the book series: Statistics for Biology and Health ((SBH))

Abstract

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 randomized controlled 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 and validation of prediction model performance. We refer to several case studies for illustration.

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Correspondence to Ewout W. Steyerberg PhD .

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Steyerberg, E.W. (2019). Study Design for Prediction Modeling. In: Clinical Prediction Models. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-030-16399-0_3

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