A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta‐analysis

@article{Debray2013AFF,
  title={A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta‐analysis},
  author={Thomas P. A. Debray and Karel G. M. Moons and Ikhlaaq Ahmed and Hendrik Koffijberg and Richard D. Riley},
  journal={Statistics in Medicine},
  year={2013},
  volume={32}
}
The use of individual participant data (IPD) from multiple studies is an increasingly popular approach when developing a multivariable risk prediction model. Corresponding datasets, however, typically differ in important aspects, such as baseline risk. This has driven the adoption of meta‐analytical approaches for appropriately dealing with heterogeneity between study populations. Although these approaches provide an averaged prediction model across all studies, little guidance exists about how… 

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