Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression

Lignende værker

• Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures
  af: Bobb, Jennifer F., et al.
  Udgivet: (2015)
• Bayesian varying coefficient kernel machine regression to assess neurodevelopmental trajectories associated with exposure to complex mixtures
  af: Liu, Shelley H., et al.
  Udgivet: (2018)
• Lagged kernel machine regression for identifying time windows of susceptibility to exposures of complex mixtures
  af: Liu, Shelley H, et al.
  Udgivet: (2018)
• Modeling the health effects of time-varying complex environmental mixtures: Mean field variational Bayes for lagged kernel machine regression
  af: Liu, Shelley H., et al.
  Udgivet: (2018)
• Bayesian Approximate Kernel Regression with Variable Selection
  af: Crawford, Lorin, et al.
  Udgivet: (2018)