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A bootstrap method to avoid the effect of concurvity in generalised additive models in time series studies of air pollution
Background: In recent years a great number of studies have applied generalised additive models (GAMs) to time series data to estimate the short term health effects of air pollution. Lately, however, it has been found that concurvity—the non-parametric analogue of multicollinearity—might lead to unde...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMJ Group
2005
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1732921/ https://ncbi.nlm.nih.gov/pubmed/16166364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/jech.2004.026740 |
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