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Triangulation of epidemiological evidence and risk of bias evaluation: A proposed framework and applied example using formaldehyde exposure and risk of myeloid leukemias

Evidence triangulation may help identify the impact of study design elements on study findings and to tease out biased results when evaluating potential causal relationships; however, methods for triangulating epidemiologic evidence are evolving and have not been standardized. Building upon key prin...

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Autori principali: Daniel J. Lauer, Anthony J. Russell, Heather N. Lynch, William J. Thompson, Kenneth A. Mundt, Harvey Checkoway
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2024-06-01
Serie:Global Epidemiology
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Accesso online:http://www.sciencedirect.com/science/article/pii/S2590113324000099
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