A methodological framework for occupational cancer surveillance: Addressing multiplicity and unmeasured confounding in Italian registry data
Objectives: The Big Data and Deep Learning in the surveillance of occupational cancers (BEST) project aimed to enhance occupational cancer surveillance in Italy by using large-scale registry linkages. It addressed two methodological challenges: controlling for multiple testing/selective inference wh...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
Elsevier
2026-06-01
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| Sraith: | Hygiene and Environmental Health Advances |
| Ábhair: | |
| Rochtain ar líne: | http://www.sciencedirect.com/science/article/pii/S2773049226000127 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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