Semiparametric distributed lag quantile regression for modeling time-dependent exposure mixtures.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13702
Abstract: Studying time-dependent exposure mixtures has gained increasing attentions in environmental health research. When a scalar outcome is of interest, distributed lag (DL) models have been employed to characterize the exposures effects distributed over time on… read more here.
Keywords: dependent exposure; exposure mixtures; time; time dependent ... See more keywords
A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Health Perspectives"
DOI: 10.1289/ehp5838
Abstract: Background: Exposure mixtures frequently occur in data across many domains, particularly in the fields of environmental and nutritional epidemiology. Various strategies have arisen to answer questions about exposure mixtures, including methods such as weighted quantile… read more here.
Keywords: wqs regression; approach; exposure mixtures; computation ... See more keywords