Statistical modeling of complex health outcomes and air pollution data: Application of air quality health indexing for asthma risk assessment
Abstract: Background: Statistical models for complex health outcome data analyses with; zero inflation, autocorrelation, confounding, seasonality and delayed exposures, play an important role in accurately assessing air pollution risk, especially in public health warning using national air quality...
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| Format: | Article |
| Language: | English |
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Milano University Press
2017-03-01
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| Series: | Epidemiology, Biostatistics and Public Health |
| Online Access: | http://ebph.it/article/view/12092 |
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