Browsing Faculty of Arts and Sciences by Keyword "Measurement Error"
Now showing items 1-2 of 2
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Causal Inference with Complex Exposures in Observational Studies
(2021-03-05)Many existing causal inference methods address the ideal situation of estimating deterministic causal effects of a single binary exposure assuming non-interference. In real-world observational studies, data harmonized from ... -
HIGH-RESOLUTION DATA ON MOBILITY, THE BUILT ENVIRONMENT, AND PHYSICAL ACTIVITY: Embedding smartphone GPS and consumer wearables within a cohort study to improve environmental epidemiology
(2023-05-02)The ubiquitous nature of smartphones and wearable devices create novel opportunities for epidemiological exposure assessment and measurement error correction within the context of the built and natural environments. Since ...