Characterizing individual and methodological risk factors for survey non-completion using machine learning: findings from the U.S. Millennium Cohort Study.
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| Title: | Characterizing individual and methodological risk factors for survey non-completion using machine learning: findings from the U.S. Millennium Cohort Study. |
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| Authors: | Carnes, Nate C.1 (AUTHOR) nathan.c.carnes.mil@health.mil, Kolaja, Claire A.1,2 (AUTHOR), Lewis, Crystal L.1,2 (AUTHOR), Castañeda, Sheila F.1 (AUTHOR), Rull, Rudolph P.1 (AUTHOR), Bukowinski, Ania (AUTHOR), Carey, Felicia (AUTHOR), Geronimo-Hara, Toni (AUTHOR), Hall, Clinton (AUTHOR), Harbertson, Judy (AUTHOR), Ignacio, David (AUTHOR), Jacobson, Isabel G. (AUTHOR), LeardMann, Cynthia A. (AUTHOR), Perez, Vanessa (AUTHOR), Piega, Aprilyn (AUTHOR), Rivera, Anna (AUTHOR), Salvatier, Rosa (AUTHOR), Sharifian, Neika (AUTHOR), Speigle, Steven (AUTHOR), Trone, Daniel (AUTHOR) |
| Source: | BMC Medical Research Methodology. 7/14/2025, Vol. 25 Issue 1, p1-10. 10p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 14712288 |
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| DOI: | 10.1186/s12874-025-02620-3 |
