Estimating acute air pollution health effects from cohort study data.

ABSTRACT: Traditional studies of short-term air pollution health effects use time series data, while cohort studies generally focus on long-term effects. There is increasing interest in exploiting individual level cohort data to assess short-term health effects in order to understand the mechanisms and time scales of action. We extend semiparametric regression methods used to adjust for unmeasured confounding in time series studies to the cohort setting. Time series methods are not directly applicable since cohort data are typically collected over a prespecified time period and include exposure measurements on days without health observations. Therefore, long-time asymptotics are not appropriate, and it is possible to improve efficiency by exploiting the additional exposure data. We show that flexib

SUBMITTER: Szpiro AA 

PROVIDER: S-EPMC4080094 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature