The objectives ofthe Data Management and Modeling Core (DMMC) are to provide integrated biostatistics, bioinformatics, and database management support for all Projects ofthe U-M NIEHS/EPA Children's Environmental Health and Disease Prevention Center (CEHC). The DMMC will promote integration of knowledge and understanding of common statistical, bioinformatics, and database issues across the U-M CEHC, and accelerate the research goals ofthe projects by not only fully engaging in all aspects ofthe U-M CEHC, but also employing appropriate and advanced study design and data analysis methodologies that can enhance the types of research questions addressed by study data. The primary aims ofthe core include (i) providing statistical and bioinformatics support for all projects, including study design, conduct of statistical analyses, integration with biological information and interpretation of research findings, (ii) supporting data management, data quality controls, and integration of databases for conduct of the projects, and (iii) participating in dissemination of research findings, including writing of manuscripts and presentations, and data sharing and dissemination strategies. The DMMC personnel have a great wealth of knowledge and experience of analyzing longitudinal data and genetic/genomic data, including mixed-effects models, GEE models, joint modeling of longitudinal and survival data, robust mixed-effects models, modern variable selection techniques (e.g. group-lasso), novel methods of handling missing data and high-throughput data analysis and biomarker network analysis for interpretation of metabolomic data. All these are critical and beneficial to the study aims in all projects. To study mixtures of exposures, an innovative approach based on the multi-index regression model will be applied to identify important pollutants and pollutant mixtures that may be associated with somatic grov /th, sexual maturation, and metabolomic outcomes.

Public Health Relevance

The DMMC provides centralized data and statistical resources that will create opportunities for consistency, innovation, efficiency and sharing of information and lessons learned across projects;a critical backbone for the entire Center. Core personnel have rich experience on multi-center studies and complementary skills to support needs of the Projects. Further, sharing personnel across projects enhances economies of scale, continuity of proiect analvses. interdisciplinary research, and overall oroductivitv ofthe UM-CEHC.

National Institute of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)
Research Program Projects (P01)
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Special Emphasis Panel (ZES1-LKB-K)
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University of Michigan Ann Arbor
Ann Arbor
United States
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Sanchez-Vaznaugh, E V; Bécares, L; Sallis, J F et al. (2016) Active school transport and fast food intake: Are there racial and ethnic differences? Prev Med 91:281-286
Cantoral, A; Téllez-Rojo, M M; Ettinger, A S et al. (2016) Early introduction and cumulative consumption of sugar-sweetened beverages during the pre-school period and risk of obesity at 8-14 years of age. Pediatr Obes 11:68-74
Huang, Siying; Hu, Howard; Sánchez, Brisa N et al. (2016) Childhood Blood Lead Levels and Symptoms of Attention Deficit Hyperactivity Disorder (ADHD): A Cross-Sectional Study of Mexican Children. Environ Health Perspect 124:868-74
Baek, Jonggyu; Sánchez, Brisa N; Berrocal, Veronica J et al. (2016) Distributed Lag Models: Examining Associations Between the Built Environment and Health. Epidemiology 27:116-24
Ferguson, Kelly K; Meeker, John D; Cantonwine, David E et al. (2016) Urinary phthalate metabolite and bisphenol A associations with ultrasound and delivery indices of fetal growth. Environ Int 94:531-7
Zhang, Zhenzhen; O'Neill, Marie S; Sánchez, Brisa N (2016) Using a latent variable model with non-constant factor loadings to examine PM2.5 constituents related to secondary inorganic aerosols. Stat Modelling 16:91-113
Baek, Jonggyu; Sanchez-Vaznaugh, Emma V; Sánchez, Brisa N (2016) Hierarchical Distributed-Lag Models: Exploring Varying Geographic Scale and Magnitude in Associations Between the Built Environment and Health. Am J Epidemiol 183:583-92
Watkins, Deborah J; Peterson, Karen E; Ferguson, Kelly K et al. (2016) Relating Phthalate and BPA Exposure to Metabolism in Peripubescence: The Role of Exposure Timing, Sex, and Puberty. J Clin Endocrinol Metab 101:79-88
Lewis, Ryan C; Johns, Lauren E; Meeker, John D (2016) Exploratory analysis of the potential relationship between urinary molybdenum and bone mineral density among adult men and women from NHANES 2007-2010. Chemosphere 164:677-682
Kasper, Nicole; Peterson, Karen E; Zhang, Zhenzhen et al. (2016) Association of Bisphenol A Exposure with Breastfeeding and Perceived Insufficient Milk Supply in Mexican Women. Matern Child Health J 20:1713-9

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