Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study

Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study

Abstract The Millennium Cohort Study is a longitudinal study which collects self-reported data from surveys to examine the long-term effects of military service. Participant nonresponse to follow-up surveys presents a potential threat to the validity and generalizability of study findings. In recent...

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Bibliographic Details
Main Authors: Wisam Barkho, Nathan C. Carnes, Claire A. Kolaja, Xin M. Tu, Satbir K. Boparai, Sheila F. Castañeda, Beverly D. Sheppard, Jennifer L. Walstrom, Jennifer N. Belding, Rudolph P. Rull, the Millennium Cohort Study Team
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Longitudinal studies
Survey nonresponse
Survey response
Machine learning
Latent class analysis
Survey outreach efforts
Online Access:https://doi.org/10.1038/s41598-024-77563-8

Internet

https://doi.org/10.1038/s41598-024-77563-8

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