Ayona Chatterjee

3Kim Geron
3Rachael Stryker
3Donna Wiley
3Diane Mukerjee
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Pesticide risk assessment for food products involves combining information from consumption and concentration data sets to estimate a distribution for the pesticide intake in a human population. Using this distribution one can obtain probabilities of individuals exceeding specified levels of pesticide intake. In this article, we present a probabilistic,(More)
GE Subcommittee Chair Glass presented a PowerPoint describing the process and principles used in drafting the document. The Academic Senate approved the GE framework with 14-15 CIC 38, recommendation for the cluster program with 14-15 CIC 40, and graduation requirement overlays as part of 15-16 CIC 5. The process for outcomes included weekly meetings of the(More)
The meeting was called to order at 2:05 p.m. 1. Approval of the agenda M/S/P (Murray/Stryker) to approve. 2. Approval of the 2/2/16 minutes M/S/P (Watnik/Murray) to approve, amended M/S/P (Karplus/Watnik) to change " require " to " make explicit the requirements of particular assignments and " in the third sentence of the second paragraph of Item 3.A and(More)
Many dietary consumption variables show strong positive skewness or large proportions of zeros. Attempts to normalize such data using transformations such as powers and logarithms can be unsuccessful: this results in poor estimates of their probability distributions, and hence of the proportions of the population whose consumption is beyond recommended(More)
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