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ANALYSING SEASONAL HEALTH DATA


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Sinopse

Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the intensity of seasonal weather patterns around the world, a review of the methods for estimating seasonal effects on health is timely. This is the first book on statistical methods for seasonal data written for a health audience. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarising and modelling these data. It has a practical focus and uses interesting examples to motivate and illustrate the methods. The statistical procedures and example data sets are available in an R package called ‘season’.

Detalhes do Produto

    • Formato:  ePub
    • Origem:  IMPORTADO
    • Editora: SPRINGER
    • Coleção:  Statistics for Biology and Health
    • Assunto: Medicina
    • Idioma: INGLÊS
    • Ano de Edição: 2010
    • Ano:  2016
    • País de Produção: Canada
    • Código de Barras:  2001026392825
    • ISBN:  9783642107481

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