Shelley H Liu, Jennifer F Bobb, Birgit Claus Henn, Lourdes Schnaas, Martha M Tellez-Rojo, Chris Gennings, Manish Arora, Robert O Wright, Brent A Coull, Matt P Wand
There is substantial interest in assessing how exposure to environmental mixtures, such as chemical mixtures, affect child health. Researchers are also interested in identifying critical time windows of susceptibility to these complex mixtures. A recently developed method, called lagged kernel machine regression (LKMR), simultaneously accounts for these research questions by estimating effects of time-varying mixture exposures, and identifying their critical exposure windows. However, LKMR inference using Markov chain Monte Carlo methods (MCMC-LKMR) is computationally burdensome and time intensive for large datasets, limiting its applicability...
June 2018: Environmetrics