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Brent Andrew Coull, Ph.D.

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Overview
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Dr. Coull's current research interests fall into the broad areas of categorical data analysis and semiparametric regression modeling. Recent topics in the analysis of categorical data include capture-recapture mixture models, random effect models for multiple discrete binary outcomes, confidence intervals for a binomial proportion, and order-restricted methods for stratified contingency tables. In the area of semiparametric regression modeling, he has focused on the development of such models for complex data structures often encountered in public health settings, such as cross-over and longitudinal settings.

Dr. Coull is also involved in collaborative research in environmental health. Current projects focus on the health effects of air pollution and the interrelationship between the microbial community and pollutants in the New Bedford Harbor area.
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Research
research activities and funding
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
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  1. R01ES028811 (GENNINGS, CHRIS) May 15, 2018 - Apr 30, 2022
    NIH
    Methods for Data Integration and Risk Assessment for Environmental Mixtures
    Role: Co-Principal Investigator
  2. R13CA196188 (COULL, BRENT ANDREW) Mar 3, 2015 - Feb 28, 2018
    NIH
    Workshop for Junior Biostatisticians in Health Research
    Role: Principal Investigator
  3. P42ES016454 (BELLINGER, DAVID C) Apr 12, 2010 - Mar 31, 2016
    NIH
    Superfund Metal Mixtures, Biomarkers and Neurodevelopment
    Role: Co-Principal Investigator
  4. P01CA134294 (HERNAN, MIGUEL) Sep 10, 2008 - Jun 30, 2019
    NIH
    Statistical Informatics for Cancer Research
    Role: Co-Principal Investigator
  5. R01ES012044 (COULL, BRENT ANDREW) Dec 1, 2002 - Jun 30, 2012
    NIH
    Analysis of High-Dimensional Environmental Health Data
    Role: Principal Investigator

Bibliographic
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© 2024 President and Fellows of Harvard College
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.