2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Federated generalized linear mixed models based on one-time shared summary statistics
Marie Analiz April Limpoco, Christel Faes, Niel Hens
Data privacy has increasingly become a daunting challenge because it limits data availability, which is essential in estimating statistical models such as generalized linear mixed…
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…