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1
Examining Secular Trends and Seasonality in Count Data Usin..:
Lundbye-Christensen, S.
;
Dethlefsen, C.
;
Gorst-Rasmussen, A.
...
European Journal of Epidemiology. 24 (2009) 5 - p. 225-230 , 2009
Link:
https://www.jstor.org/stable/40284116
RT Journal T1
Examining Secular Trends and Seasonality in Count Data Using Dynamic Generalized Linear Modelling: A New Methodological Approach Illustrated with Hospital Discharge Data on Myocardial Infarction
UL https://suche.suub.uni-bremen.de/peid=jstor-40284116&Exemplar=1&LAN=DE A1 Lundbye-Christensen, S. A1 Dethlefsen, C. A1 Gorst-Rasmussen, A. A1 Fischer, T. A1 Schønheyder, H. C. A1 Rothman, K. J. A1 Sørensen, H. T. PB Springer YR 2009 SN 0393-2990 SN 1573-7284 K1 Incidence K1 Kalman filter K1 Peak-to-trough ratio K1 Poisson counts K1 Serial correlation K1 Time series K1 Information science K1 Information analysis K1 Data analysis K1 Regression analysis K1 Linear regression K1 Linear models K1 Generalized linear model K1 Health sciences K1 Medical conditions K1 Diseases K1 Cardiovascular diseases K1 Heart diseases K1 Myocardial infarction K1 Time series analysis K1 Secular variations K1 Applied sciences K1 Research methods K1 Modeling K1 Dynamic modeling K1 Health and wellness K1 Public health K1 Epidemiology K1 Physical sciences K1 Physics K1 Mechanics K1 Wave mechanics K1 Waves K1 Sine waves K1 Environmental studies K1 Environmental quality K1 Environmental degradation K1 Environmental pollution K1 Air pollution K1 Data products K1 Datasets K1 Mathematics K1 Applied mathematics K1 Statistics K1 Applied statistics K1 Statistical models K1 Time series models JF European Journal of Epidemiology VO 24 IS 5 SP 225 OP 230 LK http://dx.doi.org/https://www.jstor.org/stable/40284116 DO https://www.jstor.org/stable/40284116 SF ELIB - SuUB Bremen
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