Time Series Regression Studies In Environmental Epidemiology. Jun 09 2016 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. Time series regression studies have been widely used in environ-mental epidemiology notably in investigating the short-term asso-ciations between exposures such as air pollution weather variables or pollen and health outcomes such as mortality myocardial in-farction or disease-specific hospital admissions.
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. Disease counts over time can be modeled across time in a generalized linear modeling framework often using Poisson regression. The first stage estimates the location-specific association while the second stage pools the associations across locations.
In this paper we show that case-crossover using conditional logistic regression is a special case of time series analysis when there is a common exposure such as in air pollution studies.
Aug 09 2020 Two-stage meta-analysis has been popularly used in epidemiological studies to investigate an association between environmental exposure and health response by analyzing time-series data collected from multiple locations. Other time-focused designs include ecological time-series data and interrupted time-series data. Disease counts over time can be modeled across time in a generalized linear modeling framework often using Poisson regression. Jun 09 2016 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.
