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Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kapar, Jan, Günther, Kathrin, Vallis, Lori Ann, Berger, Klaus, Binder, Nadine, Brenner, Hermann, Castell, Stefanie, Fischer, Beate, Harth, Volker, Holleczek, Bernd, Intemann, Timm, Ittermann, Till, Karch, André, Keil, Thomas, Krist, Lilian, Lange, Berit, Leitzmann, Michael F., Nimptsch, Katharina, Obi, Nadia, Pigeot, Iris, Pischon, Tobias, Schikowski, Tamara, Schmidt, Börge, Schmidt, Carsten Oliver, Sedlmair, Anja M., Tanoey, Justine, Wienbergen, Harm, Wienke, Andreas, Wigmann, Claudia, Wright, Marvin N.
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods Artificial Intelligence Machine Learning Applications
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2508.14936