5 papers
Distributed lag non-linear models with Laplacian-P-splines for analysis of spatially structured time series
Sara Rutten, Bryan Sumalinab, Oswaldo Gressani +4
Distributed lag non-linear models (DLNM) have gained popularity for modeling nonlinear lagged relationships between exposures and outcomes. When applied to spatially referenced dat…
Federated mixed effects logistic regression based on one-time shared summary statistics
Marie Analiz April Limpoco, Christel Faes, Niel Hens
Upholding data privacy especially in medical research has become tantamount to facing difficulties in accessing individual-level patient data. Estimating mixed effects binary logis…
Linear mixed modelling of federated data when only the mean, covariance, and sample size are available
Marie Analiz April Limpoco, Christel Faes, Niel Hens
In medical research, individual-level patient data provide invaluable information, but the patients' right to confidentiality remains of utmost priority. This poses a huge challeng…
A Low-Rank Bayesian Approach for Geoadditive Modeling
Bryan Sumalinab, Oswaldo Gressani, Niel Hens +1
Kriging is an established methodology for predicting spatial data in geostatistics. Current kriging techniques can handle linear dependencies on spatially referenced covariates. Al…
On the Addams family of discrete frailty distributions for modelling multivariate case I interval-censored data
Maximilian Bardo, Niel Hens, Steffen Unkel
Random effect models for time-to-event data, also known as frailty models, provide a conceptually appealing way of quantifying association between survival times and of representin…