Abstract
In some circumstances seasonality is not the focus of investigation, but is important because its effects need to be controlled for. This could be because both the outcome and the exposure have an annual seasonal pattern, but we are interested in associations at a different frequency (e.g., daily).
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References
Ballester, F., Corella, D., Perez-Hoyos, S., Saez, M., Hervas, A.: Mortality as a function of temperature. A study in Valencia, Spain, 1991–1993. Int. J. Epidemiol. 26(3), 551–561 (1997)
Barnett, A.G., Dobson, A.J.: Is the increase in coronary heart disease on Mondays an artifact? Epidemiology 15(5), 583–588 (2004)
Barnett, A.G., Sans, S., Salomaa, V., Kuulasmaa, K., Dobson, A.J.: The WHO MONICA Project: the effect of temperature on systolic blood pressure. Blood Press. Monit. 12(3), 195–203 (2007)
Frost, C., Thompson, S.G.: Correcting for regression dilution bias: Comparison of methods for a single predictor variable. J. R. Stat. Soc. A Stat. Soc. 163(2), 173–189 (2000)
Janes, H., Sheppard, L., Lumley, T.: Case–crossover analyses of air pollution exposure data: referent selection strategies and their implications for bias. Epidemiology 16(6), 717–726 (2005)
Johnson, H., Brock, A., Griffiths, C., Rooney, C.: Mortality from suicide and drug-related poisoning by day of the week in England and Wales, 1993–2002. Health Stat. Q. 27, 13–16 (2005)
Keele, L.: Semiparametric Regression for the Social Sciences. Wiley, Chichester (2008)
Maclure, M.: The case–crossover design: a method for studying transient effects on the risk of acute events. Am. J. Epidemiol. 133(2), 144–153 (1991)
Peng, R.D., Dominici, F.: Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health. Springer, New York (2008)
Phillips, D.P., Jarvinen, J.R., Abramson, I.S., Phillips, R.R.: Cardiac mortality is higher around Christmas and New Year’s than at any other time. Circulation 110(25), 3781–3788 (2004)
Rochester, D., Jain, A., Polotsky, A.J., Polotsky, H., et al.: Partial recovery of luteal function after bariatric surgery in obese women. Fertil. Steril. 92(4), 1410–1415 (2009)
Ruppert, D.R., Wand, M.P., Carroll, R.J.: Semiparametric Regression. Cambridge University Press, New York (2003)
Saigh, O., Triola, M.M., Link, R.N.: Failure of an electronic medical record tool to improve pain assessment documentation. J. Gen. Intern. Med. 21(2), 185–188 (2006)
Wood, S.N.: Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press, Boca Raton, FL (2006)
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Barnett, A.G., Dobson, A.J. (2010). Controlling for Season. In: Analysing Seasonal Health Data. Statistics for Biology and Health. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10748-1_5
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DOI: https://doi.org/10.1007/978-3-642-10748-1_5
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