The Impact of Nonrandom Missingness in Surveillance Data for Population-Level Summaries: Simulation Study

BACKGROUND: Surveillance data are essential public health resources for guiding policy and allocation of human and capital resources. These data often consist of large collections of information based on nonrandom sample designs. Population estimates based on such data may be impacted by the underly...

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Detalles Bibliográficos
Autores principales: Weiss, Paul Samuel, Waller, Lance Allyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508670/
https://www.ncbi.nlm.nih.gov/pubmed/36083618
http://dx.doi.org/10.2196/37887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508670/
https://www.ncbi.nlm.nih.gov/pubmed/36083618
http://dx.doi.org/10.2196/37887

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