Article on new methods for precision environmental health selected as ASA Editor’s Choice Collection
An article titled “Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution” by Daniel Mork et al. was selected by the Journal of the American Statistical Associations to be part of its ‘Editor’s Choice Collection.’ The article proposes a new statistical learning framework to estimate the personalized effects of maternal exposure to air pollution during pregnancy on birth and child health outcomes. Using a large administrative dataset, the authors conduct a precision environmental health analysis of the effect of weekly maternal exposure to fine particulate matter air pollution during gestation on birth weight. The approach simultaneous accounts for multiple candidate modifiers to identify who is most sensitive to air pollution exposure and identify windows of sensitivity.
