A comparative study of the use of GAM and GLM in air pollution research

By Shui He, S. Mazumdar, V. Arena. 2006

55 citations recorded by the source corpus.

Subfields: Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/a2a55f3e83329b6f68b4dbe8ece37022f23e3d1e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Antonio Gasparrini
2. Ben Armstrong
3. Brent Henderson
4. Michael G. Kenward
5. R. Morton
6. Daniel M. McNeish
7. M. Leone
8. Walter W. Stroup

In Health, Toxicology and Mutagenesis

1. Antonio Gasparrini
2. Ben Armstrong
3. Michael G. Kenward
4. Brent Henderson
5. R. Morton
6. M. Leone

Citations in the corpus

• Estimation of nonlinear trends in water quality: An improved approach using generalized additive models (2008, methodology): “GAMs have been used extensively in the analysis of air pollution; ‘‘nearly ubiquitous’’ according to the Health Effects Institute [2003], and ‘‘a standard tool in time series studies of air pollution and health in the past decade’’ [ He et al., 2006 ].”
• Distributed lag non-linear models (2010, methodology): “Although completely parametric approaches seems to be preferred to control for season and long-term trend in time series data [27, 34, 35], the penalized methods could show some advantage in the bi-dimensional framework of DLNM.”