Conditional Poisson Regression with Random Effects for the Analysis of Multi-site Time Series Studies.

ABSTRACT: The analysis of time series studies linking daily counts of a health indicator with environmental variables (e.g., mortality or hospital admissions with air pollution concentrations or temperature; or motor vehicle crashes with temperature) is usually conducted with Poisson regression models controlling for long-term and seasonal trends using temporal strata. When the study includes multiple zones, analysts usually apply a two-stage approach: first, each zone is analyzed separately, and the resulting zone-specific estimates are then combined using meta-analysis. This approach allows zone-specific control for trends. A one-stage approach uses spatio-temporal strata and could be seen as a particular case of the case-time series framework recently proposed. However, the number of strata can e

SUBMITTER: Barrera-Gomez J 

PROVIDER: S-EPMC10538616 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature