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stat.ME2025
Methods of Selective Inference for Linear Mixed Models: a Review and Empirical Comparison
Matteo D'Alessandro, Magne Thoresen
Selective inference aims at providing valid inference after a data-driven selection of models or hypotheses. It is essential to avoid overconfident results and replicability issues…
stat.ME2024
Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning
Matteo D'Alessandro, Theophilus Quachie Asenso, Manuela Zucknick
Modeling with multi-omics data presents multiple challenges such as the high-dimensionality of the problem (), the presence of interactions between features, and the need…