Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting

Nathaniel MacNell; Lydia Feinstein; Jesse Wilkerson; Pӓivi M. Salo; Samantha A. Molsberry; Michael B. Fessler; Peter S. Thorne; Alison A. Motsinger-Reif; Darryl C. Zeldin

doi:10.1371/journal.pone.0280387

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Open Access

Peer-reviewed

Research Article

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting

Nathaniel MacNell,

Roles Conceptualization, Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliation Social & Scientific Systems, a DLH Holdings Company, Durham, North Carolina, United States of America
⨯
Lydia Feinstein,

Roles Conceptualization, Methodology, Project administration, Supervision, Visualization, Writing – original draft, Writing – review & editing

Affiliations Social & Scientific Systems, a DLH Holdings Company, Durham, North Carolina, United States of America, Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America
⨯
Jesse Wilkerson,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliation Social & Scientific Systems, a DLH Holdings Company, Durham, North Carolina, United States of America
⨯
Pӓivi M. Salo,

Roles Conceptualization, Methodology, Project administration, Supervision, Writing – review & editing

Affiliation Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina, United States of America
⨯
Samantha A. Molsberry,

Roles Conceptualization, Methodology, Writing – review & editing

Affiliation Social & Scientific Systems, a DLH Holdings Company, Durham, North Carolina, United States of America

https://orcid.org/0000-0001-9398-3357

⨯
Michael B. Fessler,

Roles Conceptualization, Methodology, Writing – review & editing

Affiliation Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina, United States of America
⨯
Peter S. Thorne,

Roles Conceptualization, Methodology, Writing – review & editing

Affiliation Department of Occupational and Environmental Health, University of Iowa, College of Public Health, Iowa City, Iowa, United States of America
⨯
Alison A. Motsinger-Reif,

Roles Conceptualization, Methodology, Writing – review & editing

Affiliation Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina, United States of America
⨯
Darryl C. Zeldin

Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

* E-mail: zeldin@niehs.nih.gov

Affiliation Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina, United States of America
⨯

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting

Nathaniel MacNell,
Lydia Feinstein,
Jesse Wilkerson,
Pӓivi M. Salo,
Samantha A. Molsberry,
Michael B. Fessler,
Peter S. Thorne,
Alison A. Motsinger-Reif,
Darryl C. Zeldin

Published: January 13, 2023
https://doi.org/10.1371/journal.pone.0280387

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