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 ...

More information: Jiangshan Lai et al, Evaluating the relative importance of predictors in Generalized Additive Models using the gam.hp R package, Plant Diversity (2024). DOI: 10.1016/j.pld.2024. ...

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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.