Towards Improving Transparency of Count Data Regression Models for Health Impacts of Air Pollution
In studies on the health impacts of air pollution, regression analysis continues to advance far beyond classical linear regression, which many scientists may have become familiar with in an introductory statistics course. With each new level of complexity, regression analysis may become less transpa...
Main Authors: | John F. Joseph, Chad Furl, Hatim O. Sharif, Thankam Sunil, Charles G. Macias |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/8/3375 |
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