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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2020
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| Materias: | |
| 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 |