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Your Environment. Your Health.

Project Publications: Harvard School of Public Health: Data Management and Analysis Core

Superfund Research Program

Data Management and Analysis Core

Project Leader: Brent A. Coull
Co-Investigators: Xihong Lin, Rajarshi Mukherjee, Yaoyu Wang, Hufeng Zhou
Grant Number: P42ES030990
Funding Period: 2020-2025
View this project in the NIH Research Portfolio Online Reporting Tools (RePORT)

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Publications

2023

  • Leung M, Rowland ST, Coull BA, Modest AM, Hacker MR, Schwartz J, Kioumourtzoglou M, Weisskopf MG, Wilson A. 2023. Bias amplification and variance inflation in distributed lag models using low-spatial-resolution data. Am J Epidemiol 192(4):644-657. doi:10.1093/aje/kwac220 PMID:36562713 PMCID:PMC10404064
  • McGee G, Wilson A, Coull BA, Webster TF. 2023. Incorporating biological knowledge in analyses of environmental mixtures and health. Stat Med doi:10.1002/sim.9765 PMID:37161723
  • Schildroth S, Friedman A, White RF, Kordas K, Placidi D, Bauer J, Webster TF, Coull BA, Cagna G, Wright RO, Smith D, Lucchini R, Horton MK, Henn BC. 2023. Associations of an industry-relevant metal mixture with verbal learning and memory in Italian adolescents: The modifying role of iron status. Environ Res 224:115457. doi:10.1016/j.envres.2023.115457 PMID:36773645 PMCID:PMC10117691

2022

  • Antonelli J, Wilson A, Coull BA. 2022. Multiple exposure distributed lag models with variable selection. Biostatistics doi:10.1093/biostatistics/kxac038 PMID:36073640
  • Laha N, Huey N, Coull BA, Mukherjee R. 2022. On statistical inference with high dimensional sparse CCA. Arxiv
  • Laha N, Mukherjee R. 2022. On support recovery with sparse CCA: information theoretic and computational limits. IEEE Trans Info Theory 69(3):1695-1738. doi:10.1109/TIT.2022.3214201
  • McGee G, Wilson A, Coull BA, Webster TF. 2022. Integrating biological knowledge in kernel-based analyses of environmental mixtures and health. Arxiv doi:10.48550/arXiv.1902.05878

2021

2019

  • Liu J, Lee JJ, Lynn P, Valeri L, Christiani DC, Bellinger DC, Wright RO, Mazumdar M, Coull BA. 2019. A Cross-validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies. J Am Stat Assoc

2017

  • Liu J, Coull BA. 2017. Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes. Advances in Neural Information Processing Systems
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