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Analysing Seasonal Health DataControlling for Season

Analysing Seasonal Health Data: Controlling for Season [In some circumstances seasonality is not the focus of investigation, but is important because its effects need to be controlled for. This could be because both the outcome and the exposure have an annual seasonal pattern, but we are interested in associations at a different frequency (e.g., daily).] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Analysing Seasonal Health DataControlling for Season

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Publisher
Springer Berlin Heidelberg
Copyright
© Springer-Verlag Berlin Heidelberg 2010
ISBN
978-3-642-10747-4
Pages
129 –150
DOI
10.1007/978-3-642-10748-1_5
Publisher site
See Chapter on Publisher Site

Abstract

[In some circumstances seasonality is not the focus of investigation, but is important because its effects need to be controlled for. This could be because both the outcome and the exposure have an annual seasonal pattern, but we are interested in associations at a different frequency (e.g., daily).]

Published: Jan 4, 2010

Keywords: Seasonal Pattern; Generalize Additive Model; Conditional Logistic Regression; Seasonal Adjustment; Crossover Analysis

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