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pro vyhledávání: '"Engel, Stephanie M."'
There is abundant interest in assessing the joint effects of multiple exposures on human health. This is often referred to as the mixtures problem in environmental epidemiology and toxicology. Classically, studies have examined the adverse health eff
Externí odkaz:
http://arxiv.org/abs/2210.09279
Publikováno v:
Stat Biosci (2023)
Estimating sample size and statistical power is an essential part of a good study design. This R package allows users to conduct power analysis based on Monte Carlo simulations in settings in which consideration of the correlations between predictors
Externí odkaz:
http://arxiv.org/abs/2209.08036
Autor:
Jin, Bora, Dunson, David B., Rager, Julia E., Reif, David, Engel, Stephanie M., Herring, Amy H.
We aim to infer bioactivity of each chemical by assay endpoint combination, addressing sparsity of toxicology data. We propose a Bayesian hierarchical framework which borrows information across different chemicals and assay endpoints, facilitates out
Externí odkaz:
http://arxiv.org/abs/2009.08405
Autor:
Keil, Alexander P., Daza, Eric J., Engel, Stephanie M., Buckley, Jessie P., Edwards, Jessie K.
Publikováno v:
Stat Methods Med Res. 2017 Jan 1:962280217694665
Epidemiologists often wish to estimate quantities that are easy to communicate and correspond to the results of realistic public health scenarios. Methods from causal inference can answer these questions. We adopt the language of potential outcomes u
Externí odkaz:
http://arxiv.org/abs/1512.04809