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Filtering by: Funding statement This work was supported by US National Science Foundation Ecology of Infectious Disease research program grants to SC and SV (NSF EF-0723676 & 1413925) and Morris Animal Foundation grants to JAB (D15FE-001), and RMT (D14FE-301).

Closing the gap on causal processes of infection risk from cross-sectional data: structural equation models to understand infection and co-infection

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Carver, Scott, Beatty, Julia A., Troyer, Ryan M., Harris, Rachel L., Stutzman-Rodriguez, Kathryn, Barrs, Vanessa R., Chan, Cathy C., Tasker, Séverine, Lappín, Michael R., and VandeWoude, Sue

Abstract:

Background: Epidemiological studies of disease exposure risk are frequently based on observational, cross-sectional data, and use statistical approaches as crucial tools for formalising causal processes and making predictions of exposure risks. However, an acknowledged limitation of traditional models is that the inferred relationships are correlational, cannot easily distinguish direct from...

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Infectious Disease research program grants to SC and SV (NSF EF-0723676 & 1413925) and Morris Animal

ScholarsArchive@OSU

Closing the gap on causal processes of infection risk from cross-sectional data: structural equation models to understand infection and co-infection

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