Research Article
Estimating trends and seasonality in coronary heart disease
Abstract
We present two methods of estimating the trend, seasonality and noise in time series of coronary heart disease events. In contrast to previous work we use a non‐linear trend, allow multiple seasonal components, and carefully examine the residuals from the fitted model. We show the importance of estimating these three aspects of the observed data to aid insight of the underlying process, although our major focus is on the seasonal components. For one method we allow the seasonal effects to vary over time and show how this helps the understanding of the association between coronary heart disease and varying temperature patterns. Copyright © 2004 John Wiley & Sons, Ltd.
Citing Literature
Number of times cited according to CrossRef: 14
- C. Bui, N. Pham, A. Vo, A. Tran, A. Nguyen, T. Le, Time Series Forecasting for Healthcare Diagnosis and Prognostics with the Focus on Cardiovascular Diseases, 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), 10.1007/978-981-10-4361-1_138, (809-818), (2018).
- Adrian G. Barnett, Dimity Stephen, Cunrui Huang, Martin Wolkewitz, Time series models of environmental exposures: Good predictions or good understanding, Environmental Research, 10.1016/j.envres.2017.01.007, 154, (222-225), (2017).
- V. Olié, C. Bonaldi, Pulmonary embolism: Does the seasonal effect depend on age? A 12-year nationwide analysis of hospitalization and mortality, Thrombosis Research, 10.1016/j.thromres.2016.11.022, 150, (96-100), (2017).
- Camilla B. Jensen, Michael Gamborg, Kyle Raymond, John McGrath, Thorkild I.A. Sørensen, Berit L. Heitmann, Secular trends in seasonal variation in birth weight, Early Human Development, 10.1016/j.earlhumdev.2015.03.010, 91, 6, (361-365), (2015).
- I. L. Kozlovskaya, O. S. Bulkina, V. V. Lopukhova, N. A. Chernova, O. V. Ivanova, T. E. Kolmakova, Yu. A. Karpov, Heat and cardiovascular diseases: A review of epidemiological surveys, Terapevticheskii arkhiv, 10.17116/terarkh201587984-90, 87, 9, (84), (2015).
- Adrian G. Barnett, Annette J. Dobson, Adrian G. Barnett, Annette J. Dobson, Decomposing Time Series, Analysing Seasonal Health Data, 10.1007/978-3-642-10748-1_4, (93-128), (2010).
- Neville Nicholls, Estimating changes in mortality due to climate change, Climatic Change, 10.1007/s10584-009-9694-z, 97, 1-2, (313-320), (2009).
- Haomiao Jia, Erica I. Lubetkin, Time Trends and Seasonal Patterns of Health-Related Quality of Life among U.S. Adults, Public Health Reports, 10.1177/003335490912400511, 124, 5, (692-701), (2009).
- John J. McGrath, Adrian G. Barnett, Darryl W. Eyles, The association between birth weight, season of birth and latitude, Annals of Human Biology, 10.1080/03014460500154699, 32, 5, (547-559), (2009).
- Lisa M. Bodnar, Hyagriv N. Simhan, The prevalence of preterm birth and season of conception, Paediatric and Perinatal Epidemiology, 10.1111/j.1365-3016.2008.00971.x, 22, 6, (538-545), (2008).
- Adrian G. Barnett, Michael De Looper, John F. Fraser, The seasonality in heart failure deaths and total cardiovascular deaths, Australian and New Zealand Journal of Public Health, 10.1111/j.1753-6405.2008.00270.x, 32, 5, (408-413), (2008).
- László Gulácsi, István Májer, Imre Boncz, Valentin Brodszky, Béla Merkely, Pál Maurovich Horvath, Krisztián Kárpáti, Hospital costs of acute myocardial infarction in Hungary; 2003–2005, Orvosi Hetilap, 10.1556/OH.2007.28109, 148, 27, (1259-1266), (2007).
- Adrian G. Barnett, Susana Sans, Veikko Salomaa, Kari Kuulasmaa, Annette J. Dobson, The effect of temperature on systolic blood pressure, Blood Pressure Monitoring, 10.1097/MBP.0b013e3280b083f4, 12, 3, (195-203), (2007).
- John McGrath, Adrian Barnett, Darryl Eyles, Thomas Burne, Carsten B Pedersen, Preben Bo Mortensen, The impact of nonlinear exposure-risk relationships on seasonal time-series data: modelling Danish neonatal birth anthropometric data, BMC Medical Research Methodology, 10.1186/1471-2288-7-45, 7, 1, (2007).
