Joanne Ellison, Ann Berrington, Erengul Dodd, Jonathan J. Forster, Investigating the application of generalized additive models to discrete-time event history analysis for birth events, Demographic ...

Rather than having an additive model in a finite number of principal components as by Müller and Yao (2008), our model incorporates the functional predictor directly and thus our model can be viewed ...

Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

Home Events Events Course Starts: Generalized Linear, Additive, & Mixed Models Posted by sandra on December 12, 2023 Share Tweet Post Email View Calendar ...

Main Outcome Measurements First occurrence of running injury that resulted in modification of training. A machine learning algorithm allowing for non-linear relationships (generalized additive model) ...

We used overdispersed generalized additive models with random-effects meta-analysis to investigate the associations. Two-pollutant models were fitted to test the robustness of the associations.