Examining secular trend and seasonality in count data using dynamic generalized linear modelling: A new methodological approach to hospital discharge data on myocardial infarction

Søren Lundbye-Christensen; Claus Dethlefsen; Anders Gorst-Rasmussen; Thomas Fischer; Henrik Carl Schønheyder; Ken J Rothman; Henrik Toft Sørensen

Examining secular trend and seasonality in count data using dynamic generalized linear modelling: A new methodological approach to hospital discharge data on myocardial infarction

Søren Lundbye-Christensen, Claus Dethlefsen, Anders Gorst-Rasmussen, Thomas Fischer, Henrik Carl Schønheyder, Ken J Rothman, Henrik Toft Sørensen

Publikation: Working paper/Preprint › Working paper › Forskning

Originalsprog	Engelsk
Udgivelsessted	Denmark
Udgiver	Aalborg University
Udgave	R-2007-16
Status	Udgivet - 2007
Udgivet eksternt	Ja

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Citationsformater

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title = "Examining secular trend and seasonality in count data using dynamic generalized linear modelling: A new methodological approach to hospital discharge data on myocardial infarction",

author = "S{\o}ren Lundbye-Christensen and Claus Dethlefsen and Anders Gorst-Rasmussen and Thomas Fischer and Sch{\o}nheyder, {Henrik Carl} and Rothman, {Ken J} and S{\o}rensen, {Henrik Toft}",

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Examining secular trend and seasonality in count data using dynamic generalized linear modelling: A new methodological approach to hospital discharge data on myocardial infarction. / Lundbye-Christensen, Søren; Dethlefsen, Claus; Gorst-Rasmussen, Anders et al.
R-2007-16. udg. Denmark: Aalborg University, 2007.

Publikation: Working paper/Preprint › Working paper › Forskning

TY - UNPB

T1 - Examining secular trend and seasonality in count data using dynamic generalized linear modelling

T2 - A new methodological approach to hospital discharge data on myocardial infarction

AU - Lundbye-Christensen, Søren

AU - Dethlefsen, Claus

AU - Gorst-Rasmussen, Anders

AU - Fischer, Thomas

AU - Schønheyder, Henrik Carl

AU - Rothman, Ken J

AU - Sørensen, Henrik Toft

PY - 2007

Y1 - 2007

M3 - Working paper

BT - Examining secular trend and seasonality in count data using dynamic generalized linear modelling

PB - Aalborg University

CY - Denmark

ER -