The Core provides innovative statistical, modeling, and risk assessment capabilities in order to interpret results of the Center research. A unique feature of our Center is its close integration, and birth from the Institute of Risk Analysis and Risk Communication. This context has framed the Center and is especially evident in this facility core where the emphasis is on risk characterization. This has been accomplished by developing biologically based dose response models that are cutting edge and translational - taking basic mechanistic data from state of the art genomic data and incorporating this data into models for understanding the mechanisms of the exposure disease process. In addition, this core has also used multivariate statistical models that are innovative for exposure analysis and allow for successful interpretation and analysis of complex cohort studies and community based participatory research. Thus, collaboration with investigators on statistical designs and analysis is the start of an integrated process whereby this core has improved the initial design and construct of studies to increase their power to detect statistically significant results. Challenges for this Core include field samples with frequent values below quantification limits, missing data, multiple data collection protocols, combinations of random and fixed effects, repeated measures, and multiple spatial and temporal scales. To avoid arriving at faulty conclusions, our Core's researchers have taken these challenges into account when performing analyses.

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Ulrich, Angie; Molina, Yamile; Briant, Katherine J et al. (2018) Stress Among Latinos: Does it Vary by Occupation and Agricultural Season? J Occup Environ Med 60:810-814
Griffith, William C; Vigoren, Eric M; Smith, Marissa N et al. (2018) Application of improved approach to evaluate a community intervention to reduce exposure of young children living in farmworker households to organophosphate pesticides. J Expo Sci Environ Epidemiol :
Plascak, Jesse J; Griffith, William C; Workman, Tomomi et al. (2018) Evaluation of the relationship between residential orchard density and dimethyl organophosphate pesticide residues in house dust. J Expo Sci Environ Epidemiol :
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Stanaway, Ian B; Wallace, James C; Shojaie, Ali et al. (2017) Human Oral Buccal Microbiomes Are Associated with Farmworker Status and Azinphos-Methyl Agricultural Pesticide Exposure. Appl Environ Microbiol 83:
Shaffer, Rachel M; Smith, Marissa N; Faustman, Elaine M (2017) Developing the Regulatory Utility of the Exposome: Mapping Exposures for Risk Assessment through Lifestage Exposome Snapshots (LEnS). Environ Health Perspect 125:085003
Engel, Stephanie M; Bradman, Asa; Wolff, Mary S et al. (2016) Prenatal Organophosphorus Pesticide Exposure and Child Neurodevelopment at 24 Months: An Analysis of Four Birth Cohorts. Environ Health Perspect 124:822-30
Holme, Francesca; Thompson, Beti; Holte, Sarah et al. (2016) The role of diet in children's exposure to organophosphate pesticides. Environ Res 147:133-40

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