Time series regression studies in environmental epidemiology

Time series regression studies have been widely used in environmental epidemiology, notably in investigating the short-term associations between exposures such as air pollution, weather variables or pollen, and health outcomes such as mortality, myocardial infarction or disease-specific hospital admissions. Typically, for both exposure and outcome, data are available at regular time intervals (e.g. daily pollution levels and daily mortality counts) and the aim is to explore short-term associations between them. In this article, we describe the general features of time series data, and we outline the analysis process, beginning with descriptive analysis, then focusing on issues in time series regression that…

• WT
  Wellcome Trust
• NI
  National Institute for Health and Care Research

  Awards: NIHR-PDF-2011-04-007, PDF-2011-04-007
• MR
  Medical Research Council

  Award: G1002296