Analysing Seasonal Health Data Hardback
Part of the Statistics for Biology and Health series
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'.
- Format: Hardback
- Pages: 164 pages, 112 Illustrations, black and white; XIII, 164 p. 112 illus.
- Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date: 12/02/2010
- Category: Environmental medicine
- ISBN: 9783642107474
- Paperback / softback from £73.55