4 papers
Combined shrinkage of fixed and random effects in linear mixed models using empirical Bayes
Matteo Amestoy, R. Vermeulen, Mark A. van de Wiel +1
A novel data-driven methodology is presented for the joint selection of prior parameters for both fixed and random effects in Linear Mixed Models (LMMs). This approach facilitates…
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…
False Discovery estimation in Record Linkage
Kayané Robach, Michel H. Hof, Mark A. van de Wiel
Integrating data from multiple sources expands research opportunities at low cost. However, due to different data collection processes and privacy constraints, unique identifiers a…
A Flexible Model for Record Linkage
Kayané Robach, Stéphanie L van der Pas, Mark A van de Wiel +1
Combining data from various sources empowers researchers to explore innovative questions, for example those raised by conducting healthcare monitoring studies. However, the lack of…