The objective of this training grant is to train biostatisticians to work in inter-disciplinary collaborative teams addressing the problems associated with evaluating the effects of relevant environmental chemical mixtures or in the area of toxicogenomics. A key to the success of this venture is the joining of the efforts of key scientists (genomic or mixtures toxicologists, environmental epidemiologists and biostatisticians) in the fields of chemical mixtures or toxicogenomics with trainees from a department of biostatistics. The goal is for trainees to gain an understanding of and experience working on statistical issues for these two important areas of toxicology. These trainees will be qualified to hold unique positions in governmental agencies, academia, and industry where properly evaluating risks associated with relevant chemical exposures is becoming increasingly important. The trainees will be Ph.D. students in the Department of Biostatistics at the Virginia Commonwealth University (VCU), where they will pursue pre-doctoral training in the discipline of biostatistics. Additional expertise will be achieved through work on dissertation/research topics that are pertinent to the field of mixtures or toxicogenomics and through collaborative work with toxicologists and/or environmental epidemiologists actively working in their area of interest. Through these research projects, students will gain experience collaborating with a team of experts working to understand the relationship between environmental exposures and human disease susceptibility. The trainees will assist in the design of studies, conduct appropriate power analyses, analyze resulting data, write reports with proper interpretation of the results, and participate in a collaborative team to produce one or more manuscripts for peer-review publication. In addition, the trainees will have dissertation topics developing statistical methodology for issues involved in the design and analysis of data resulting from chemical mixtures studies or high-throughput technologies.

Public Health Relevance

The discipline of biostatistics applies statistical theory and methodology to the biological sciences. A successful biostatistician must be proficient in statistical applications, mathematical statistics and statistical computing. The objective of the training program is to enhance this proficiency by training pre-doctoral biostatisticians so that they may become experts in the design and analysis of studies of mixtures of chemicals or toxicogenomics - two important and emerging areas of toxicology.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Institutional National Research Service Award (T32)
Project #
2T32ES007334-11
Application #
8267830
Study Section
Special Emphasis Panel (ZES1-LWJ-D (T))
Program Officer
Shreffler, Carol K
Project Start
2000-09-01
Project End
2017-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
11
Fiscal Year
2012
Total Cost
$158,832
Indirect Cost
$8,570
Name
Virginia Commonwealth University
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
105300446
City
Richmond
State
VA
Country
United States
Zip Code
23298
Franke, Laura M; Czarnota, Jenna N; Ketchum, Jessica M et al. (2015) Factor analysis of persistent postconcussive symptoms within a military sample with blast exposure. J Head Trauma Rehabil 30:E34-46
Reese, Sarah E; Archer, Kellie J; Therneau, Terry M et al. (2013) A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis. Bioinformatics 29:2877-83
Caillou√ęt, Kevin A; Riggan, Anna E; Bulluck, Lesley P et al. (2013) Nesting bird "host funnel" increases mosquito-bird contact rate. J Med Entomol 50:462-6
Gennings, Chris; Carrico, Caroline; Factor-Litvak, Pam et al. (2013) A cohort study evaluation of maternal PCB exposure related to time to pregnancy in daughters. Environ Health 12:66
Carr, Caroline K; Watkins, Andrew M; Wolf, Cynthia J et al. (2013) Testing for departures from additivity in mixtures of perfluoroalkyl acids (PFAAs). Toxicology 306:169-75
Caillou√ęt, Kevin A; Riggan, Anna E; Rider, Mark et al. (2012) Nest Mosquito Trap quantifies contact rates between nesting birds and mosquitoes. J Vector Ecol 37:210-5
Gennings, Chris; Ellis, Rhonda; Ritter, Joseph K (2012) Linking empirical estimates of body burden of environmental chemicals and wellness using NHANES data. Environ Int 39:56-65
Coffey, Todd; Gennings, Chris; Moser, Virginia C (2007) The simultaneous analysis of discrete and continuous outcomes in a dose-response study: using desirability functions. Regul Toxicol Pharmacol 48:51-8
Stork, Leanna G; Gennings, Chris; Carchman, Richard A et al. (2006) Testing for additivity at select mixture groups of interest based on statistical equivalence testing methods. Risk Anal 26:1601-12
Coffey, Todd; Gennings, Chris; Simmons, Jane Ellen et al. (2005) D-optimal experimental designs to test for departure from additivity in a fixed-ratio mixture ray. Toxicol Sci 88:467-76

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