Author

T. Neyens

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Open access Aug 2026

Robustness of the Pairwise‐Fitting Approach Under Missing at Random Dropout: A Case and Simulation Study

In many studies, multiple longitudinal outcomes are collected, and interest lies in studying the association between these outcomes. Joint modeling is then required, but full likelihood estimation becomes infeasible as the number of outcomes increases. To address this, the pairwise‐fitting approach was developed. Howev...

Dries De Witte, G. Verbeke, T. Neyens et al. · Pharmaceutical statistics · 0 citations

Preprint Aug 2026

Integrating Temporal Disaggregation and Distributed Lag Nonlinear Models for Bayesian Spatio-Temporal Disease Mapping with High-Resolution Environmental Exposures

A Bayesian spatio-temporal framework that addresses temporal misalignment between health outcomes reported at coarse time scales and environmental exposures available at finer resolutions is proposed and can be extended to other environmentally sensitive diseases with mismatched temporal resolutions.

Alejandro Rozo Posada, Maxime Fajgenblat, C. Faes et al. · 0 citations