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Interdisciplinary data science to advance environmental health research and improve birth outcomes

Stingone, Jeanette A., Triantafillou, Sofia, Larsen, Alexandra, Kitt, Jay P., Shaw, Gary M., Marsillach, Judit·2021·Environmental Research
DOI 10.1016/j.envres.2021.111019
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Metadata

Authors
Stingone, J. A., Triantafillou, S., Larsen, A., Kitt, J. P., Shaw, G. M., & Marsillach, J.
Venue
Environmental Research
Publisher
Elsevier BV
Published
2021-06
Volume
197
Pages
111019
ISSN
0013-9351
DOI
10.1016/j.envres.2021.111019
Cited by
10
References
0
Language
en
Licence
Funders
  • National Library of Medicine (LM007124)
  • National Cancer Institute (CA220693)
  • National Institutes of Health
  • Center for Clinical and Translational Science, University of Utah
  • National Institute of Environmental Health Sciences (ES04696, ES027022)
  • National Center for Advancing Translational Sciences (1ULTR002538)

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CoChat. (2026). Citation check: Interdisciplinary data science to advance environmental health research and improve birth outcomes. https://app.cochat.ai/papers/10.1016/j.envres.2021.111019
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Stingone, J. A., Triantafillou, S., Larsen, A., Kitt, J. P., Shaw, G. M., & Marsillach, J. (2021). Interdisciplinary data science to advance environmental health research and improve birth outcomes. Environmental Research. https://doi.org/10.1016/j.envres.2021.111019

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