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Titlebook: Analysing Seasonal Health Data; Adrian G. Barnett,Annette J. Dobson Book 2010 Springer-Verlag Berlin Heidelberg 2010 Data analysis.Global

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发表于 2025-3-21 17:55:31 | 显示全部楼层 |阅读模式
期刊全称Analysing Seasonal Health Data
影响因子2023Adrian G. Barnett,Annette J. Dobson
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发行地址Description of methods for analysing seasonal data.Statistical methods for finding and estimating seasonal patterns are explained.With example code for the R statistical software.An R package called ‘
学科分类Statistics for Biology and Health
图书封面Titlebook: Analysing Seasonal Health Data;  Adrian G. Barnett,Annette J. Dobson Book 2010 Springer-Verlag Berlin Heidelberg 2010 Data analysis.Global
影响因子.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’..
Pindex Book 2010
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发表于 2025-3-21 23:22:12 | 显示全部楼层
Book 2010s 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’..
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Book 2010ase. 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 sea
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1431-8776 le code for the R statistical software.An R package called ‘.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 a
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978-3-642-26246-3Springer-Verlag Berlin Heidelberg 2010
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Analysing Seasonal Health Data978-3-642-10748-1Series ISSN 1431-8776 Series E-ISSN 2197-5671
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Sunčana Laketae aimed at understanding the associative and causal relationships between these neurobiological and behavioral events, such that treatment options will ultimately employ therapeutic amelioratio978-3-642-26148-0978-3-642-03001-7Series ISSN 1866-3370 Series E-ISSN 1866-3389
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