Comparison of Frequentist and Bayesian Generalized Additive Models for Assessing the Association Between Daily Exposure to Fine Particles and Respiratory Mortality: A Simulation Study

Comparison of Frequentist and Bayesian Generalized Additive Models for Assessing the Association Between Daily Exposure to Fine Particles and Respiratory Mortality: A Simulation Study

Objective: To compare the performance of frequentist and Bayesian generalized additive models (GAMs) in terms of accuracy and precision for assessing the association between daily exposure to fine particles and respiratory mortality using simulated data based on a real time-series study. Methods: In...

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Bibliographic Details
Main Authors: Xin Fang, Bo Fang, Chunfang Wang, Tian Xia, Matteo Bottai, Fang Fang, Yang Cao
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Bayesian statistics
generalized additive model
time-series analysis
fine particulate matter
respiratory mortality
Online Access:http://www.mdpi.com/1660-4601/16/5/746

Internet

http://www.mdpi.com/1660-4601/16/5/746

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