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Autoregression as a means of assessing the strength of seasonality in a time series
Authors:Rahim Moineddin  Ross EG Upshur  Muhammad Mamdani
Affiliation:(1) Department of Family and Community Medicine, University of Toronto, 256 McCaul Street, 2nd Floor, Toronto, ON, Canada, M5T 2W5;(2) Primary Care Research Unit, Sunnybrook and Women's College Health Sciences Centre, 2075 Bayview Avenue, #E-349, Toronto, ON, Canada, M4N 3M5;(3) Department of Public Health Sciences, University of Toronto, McMurrich Building, 12 Queen's Park Crescent W, Toronto, ON, Canada, M5S 1A8;(4) Institute for Clinical Evaluative Sciences, 2075 Bayview Avenue, Toronto, ON, Canada, M4N 3M5;(5) Health Policy Management and Evaluation, University of Toronto, McMurrich Building, 2nd Floor, 12 Queen's Park Crescent West, Toronto, ON, Canada, M5S 1A8;(6) Faculty of Pharmacy, University of Toronto, 19 Russell Street, Toronto, ON, Canada, M5S 2S2
Abstract:

Background  

The study of the seasonal variation of disease is receiving increasing attention from health researchers. Available statistical tests for seasonality typically indicate the presence or absence of statistically significant seasonality but do not provide a meaningful measure of its strength.
Keywords:
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