At-risk-measure Sampling in Case–Control Studies with Aggregated Data

Transient exposures are difficult to measure in epidemiologic studies, especially when both the status of being at risk for an outcome and the exposure change over time and space, as when measuring built-environment risk on transportation injury. Contemporary “big data” generated by mobile sensors c...

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Detalles Bibliográficos
Autores principales: Garber, Michael D., McCullough, Lauren E., Mooney, Stephen J., Kramer, Michael R., Watkins, Kari E., Lobelo, R.L. Felipe, Flanders, W. Dana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707160/
https://www.ncbi.nlm.nih.gov/pubmed/33093327
http://dx.doi.org/10.1097/EDE.0000000000001268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707160/
https://www.ncbi.nlm.nih.gov/pubmed/33093327
http://dx.doi.org/10.1097/EDE.0000000000001268

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