3 papers
stat.ME2026
Spatially varying distributed lag non-linear models using Laplacian P-splines
Sara Rutten, Thomas Neyens, Elisa Duarte +2
Although distributed lag non-linear models (DLNMs) are commonly used to quantify delayed and non-linear exposure-response relationships, most existing applications assume that thes…
stat.ME2026
Distributed lag non-linear models with spatial effect modification using Laplacian P-splines
Sara Rutten, Thomas Neyens, Elisa Duarte +2
Distributed lag non-linear models (DLNMs) are a popular approach to flexibly model the effect of time-delayed exposures. Classical DLNMs specify a common exposure-lag-response rela…
stat.ME2026
A constrained iteratively-reweighted least-squares framework for generalised linear models
Pierre Masselot, Devon Nenon, Jacopo Vanoli +2
Many applications of generalised linear models (GLMs) can be improved by applying constraints that impose assumptions on the associations or improve consistency of the estimators.…