97 citations · 98 across the 3 of their papers we have counts for
4 papers
Bayesian Profile Regression with Linear Mixed Models (Profile-LMM) applied to Longitudinal Exposome Data
Matteo Amestoy, Mark van de Wiel, Jeroen Lakerveld +1
Exposure to diverse non-genetic factors, known as the exposome, is a critical determinant of health outcomes. However, analyzing the exposome presents significant methodological ch…
ecpc: An R-package for generic co-data models for high-dimensional prediction
Mirrelijn M. van Nee, Lodewyk F. A. Wessels, Mark A. van de Wiel
High-dimensional prediction considers data with more variables than samples. Generic research goals are to find the best predictor or to select variables. Results may be improved b…
Flexible co-data learning for high-dimensional prediction
Mirrelijn M. van Nee, Lodewyk F. A. Wessels, Mark A. van de Wiel
Clinical research often focuses on complex traits in which many variables play a role in mechanisms driving, or curing, diseases. Clinical prediction is hard when data is high-dime…
Blood-based metabolic signatures in Alzheimer's disease
Francisca A. de Leeuw, Carel F. W. Peeters, Maartje I. Kester +11
Introduction: Identification of blood-based metabolic changes might provide early and easy-to-obtain biomarkers. Methods: We included 127 AD patients and 121 controls with CSF-biom…