Modeling gradually changing seasonal variation in count data using state space models: a cohort study of hospitalization rates of stroke in atrial fibrillation patients in Denmark from 1977 to 2011 - Christensen, Anette L; Lundbye-Christensen, Søren; Overvad, Kim; Rasmussen, Lars H; Dethlefsen, Claus (BMC medical research methodology, 2012)
Keywords: Aged; Algorithms; Atrial Fibrillation - diagnosis; Atrial Fibrillation - epidemiology; Atrial Fibrillation - mortality; Cohort Studies; Data analysis; Denmark - epidemiology; Emigration; Epidemiology; Estimates; Female; Follow-Up Studies; Health Sciences; Heart attacks; Hospitalization; Hospitalization - statistics & numerical data; Hospitalization - trends; Hospitals; Humans; Linear Models; Male; Medicine; Medicine & Public Health; Older people; Optimization algorithms; Patients; Poisson Distribution; Population; Population Surveillance - methods; Registries; Regression analysis; Seasons; Sensitivity and Specificity; Statistical methods; Statistical Theory and Methods; statistics and modelling; Statistics for Life Sciences; Stroke - complications; Stroke - epidemiology; Stroke - mortality; Studies; Technical Advance; Theory of Medicine/Bioethics; Denmark; Kalman Filter; Atrial Fibrillation; Atrial Fibrillation Patient; Observation Model; Seasonal Variation