904 resultados para Regulation on health
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Time series regression models are especially suitable in epidemiology for evaluating short-term effects of time-varying exposures on health. The problem is that potential for confounding in time series regression is very high. Thus, it is important that trend and seasonality are properly accounted for. Our paper reviews the statistical models commonly used in time-series regression methods, specially allowing for serial correlation, make them potentially useful for selected epidemiological purposes. In particular, we discuss the use of time-series regression for counts using a wide range Generalised Linear Models as well as Generalised Additive Models. In addition, recently critical points in using statistical software for GAM were stressed, and reanalyses of time series data on air pollution and health were performed in order to update already published. Applications are offered through an example on the relationship between asthma emergency admissions and photochemical air pollutants
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Poster and resource for group 18. Resource can be found hosted at http://adam-thomas.co.uk/info2009. Jakob Forst Aungiers: ja7g09@ecs.soton.ac.uk; Adam Thomas: ajt1g09@ecs.soton.ac.uk; Nathan Padoin: ncp1g09@ecs.soton.ac.uk; Antria Orfanidou: ao7g09@ecs.soton.ac.uk
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Resumen tomado de la publicación
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Es un recurso formativo elaborado en respuesta a diversas solicitudes de escuelas para ayudar a éstas en los servicios de salud y actividades de formación en seguridad. Este material puede ser utilizado por los profesores en las prácticas realizadas en los laboratorios escolares con un riesgo mínimo. Va dirigido a asesores científicos, profesores, consultores y formadores de docentes.