Powering research through innovative methods for mixtures in epidemiology (PRIME) program: novel and expanded statistical methods
BR Joubert, MA Kioumourtzoglou… - International Journal of …, 2022 - mdpi.com
Humans are exposed to a diverse mixture of chemical and non-chemical exposures across
their lifetimes. Well-designed epidemiology studies as well as sophisticated exposure …
their lifetimes. Well-designed epidemiology studies as well as sophisticated exposure …
Policy-induced air pollution health disparities: Statistical and data science considerations
Air pollution causes premature death and disease and disproportionately harms non-white
and lower-income groups in the United States. Government policies are responsible for the …
and lower-income groups in the United States. Government policies are responsible for the …
Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability
Maternal exposure to air pollution during pregnancy has a substantial public health impact.
Epidemiological evidence supports an association between maternal exposure to air …
Epidemiological evidence supports an association between maternal exposure to air …
Incorporating prior information into distributed lag nonlinear models with zero-inflated monotone regression trees
In environmental health research there is often interest in the effect of an exposure on a
health outcome assessed on the same day and several subsequent days or lags. Distributed …
health outcome assessed on the same day and several subsequent days or lags. Distributed …
Robust Distributed Learning under Least Squares Approximation
Z Zhang, Y Chao, X Ma - 2024 - researchsquare.com
Massive datasets pose a serious challenge to traditional statistical methods. Modal
regression has greater robustness and high inference efficiency compared to mean …
regression has greater robustness and high inference efficiency compared to mean …