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

European Journal of Epidemiology

Volumn 24, Issue 5, 2009, Pages 225-230

  Lundbye Christensen, S ^a   Dethlefsen, C ^a   Gorst Rasmussen, A ^b   Fischer, T ^c   Schonheyder H C ^a   Rothman, K J ^d   Sorensen H T ^d,e  

^a AALBORG UNIVERSITY HOSPITAL   (Denmark)

^b AALBORG UNIVERSITY   (Denmark)

^c LILLEBAELT HOSPITAL   (Denmark)

^d BOSTON UNIVERSITY   (United States)

^e AARHUS UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Incidence; Kalman filter; Peak to trough ratio; Poisson counts; Serial correlation; Time series

Indexed keywords

ARTICLE; CONTROLLED STUDY; DENMARK; HEART INFARCTION; HOSPITAL DISCHARGE; HUMAN; MAJOR CLINICAL STUDY; MORBIDITY; SEASONAL VARIATION;

DENMARK; EPIDEMIOLOGIC METHODS; HOSPITALIZATION; HUMANS; INCIDENCE; INFLUENZA, HUMAN; LINEAR MODELS; MYOCARDIAL INFARCTION; POISSON DISTRIBUTION; REGISTRIES; REGRESSION ANALYSIS; SEASONS;

EID: 67349084700     PISSN: 03932990     EISSN: 15737284     Source Type: Journal    
DOI: 10.1007/s10654-009-9325-z     Document Type: Article

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