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Graph cluster randomization: network exposure to multiple universes
Graph cluster randomization network exposure multiple universes
2013/6/17
A/B testing is a standard approach for evaluating the effect of online experiments; the goal is to estimate the `average treatment effect' of a new feature or condition by exposing a sample of the ove...
Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways
Bayesian learning data management environmental health model validation
2009/9/24
In this article,we present a behind-the-scenes look at a Bayesian
hierarchical analysis of pathways of exposure to arsenic(a toxic heavy metal)
using the Phase I National Human Exposure Assessment ...
Using decomposed household food acquisitions as inputs of a Kinetic Dietary Exposure Model
household surveys individualization linear mixed model risk assessment spline-estimation
2010/4/27
Foods naturally contain a number of contaminants that may have different and long term
toxic effects. This paper introduces a novel approach for the assessment of such chronic food
risk that integra...