OBJECTIVE We investigate the formal application of smooth methods implemented via generalized additive models (GAMs) to the analysis of fertility histories. We also determine whether and where GAMs ...

Other models, such as neural networks, are quite flexible, but very difficult to interpret. Generalized additive models (GAMs) are a nice balance between flexibility and interpretability. In this ...

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.

Finally, a generalized additive model (GAM) is used to estimate column-integrated algal biomass (CAB) based on these initial steps. The method was validated using data from three major lakes in ...