Time-stratified case-crossover studies for aggregated data in environmental epidemiology: a tutorial.

ABSTRACT: The case-crossover design is widely used in environmental epidemiology as an effective alternative to the conventional time-series regression design to estimate short-term associations of environmental exposures with a range of acute events. This tutorial illustrates the implementation of the time-stratified case-crossover design to study aggregated health outcomes and environmental exposures, such as particulate matter air pollution, focusing on adjusting covariates and investigating effect modification using conditional Poisson regression. Time-varying confounders can be adjusted directly in the conditional regression model accounting for the adequate lagged exposure-response function. Time-invariant covariates at the subpopulation level require reshaping the typical time-series data set

SUBMITTER: Tobias A 

PROVIDER: S-EPMC10879751 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature