In each of several projects in this Superfund Hazardous Substances Basic Research Program, epidemiological data will be collected from a variety of sources. There is a need that the data, once collected, be computerized and organized into a database with quality control procedures to monitor the accuracy and completeness of the data. Once the database has been established, exploratory analyses of the data need to be done to examine each variable singly before considering its relationship with other variables. As the exploratory process continues, unusual values are identified and need to be checked for accuracy. After data-cleaning operations have been carried out and a thoroughly explored data set is established, statistical modeling of relationships among multiple variable is required. Finally, after statistical models have been developed, they must be assessed for their adequacy of fit to the observed data. Only after developed models have been shown to adequately fit the data is the investigator in a position to make statistical inferences and to draw conclusions from the data. This core has the resources and technical expertise to provide these data management and statistical services to investigators in the program project. Core staff will use statistical software packages, together with custom written programs for data entry, to establish and maintain databases. The biostatisticians will work closely with the investigators in analyzing and interpreting the data and in preparing tabular and graphical displays of results for publication. Cost effectiveness, economy of scale, and heightened coordination and support will be achieved through the activities of this Core.

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Mount Sinai School of Medicine
New York
United States
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Yan, Beizhan; Bopp, Richard F; Abrajano, Teofilo A et al. (2014) Source apportionment of polycyclic aromatic hydrocarbons (PAHs) into Central Park Lake, New York City, over a century of deposition. Environ Toxicol Chem 33:985-92
Miller, Todd R; Colquhoun, David R; Halden, Rolf U (2010) Identification of wastewater bacteria involved in the degradation of triclocarban and its non-chlorinated congener. J Hazard Mater 183:766-72
Miller, Todd R; Heidler, Jochen; Chillrud, Steven N et al. (2008) Fate of triclosan and evidence for reductive dechlorination of triclocarban in estuarine sediments. Environ Sci Technol 42:4570-6
Landrigan, Philip J; Forman, Joel; Galvez, Maida et al. (2008) Impact of September 11 World Trade Center disaster on children and pregnant women. Mt Sinai J Med 75:129-34
Louchouarn, Patrick; Chillrud, Steven N; Houel, Stephane et al. (2007) Elemental and molecular evidence of soot- and char-derived black carbon inputs to New York City's atmosphere during the 20th century. Environ Sci Technol 41:82-7
Grandjean, P; Landrigan, P J (2006) Developmental neurotoxicity of industrial chemicals. Lancet 368:2167-78
Wallenstein, Sylvan; Chen, Jia; Wetmur, James G (2006) Comparison of statistical models for analyzing genotype, inferred haplotype, and molecular haplotype data. Mol Genet Metab 89:270-3
Trasande, Leonardo; Schechter, Clyde; Haynes, Karla A et al. (2006) Applying cost analyses to drive policy that protects children: mercury as a case study. Ann N Y Acad Sci 1076:911-23
Ma, Risheng; Sassoon, David A (2006) PCBs exert an estrogenic effect through repression of the Wnt7a signaling pathway in the female reproductive tract. Environ Health Perspect 114:898-904
Gobeille, Alayne K; Morland, Kimberly B; Bopp, Richard F et al. (2006) Body burdens of mercury in lower Hudson River area anglers. Environ Res 101:205-12

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