Wednesday, February 7, 2018; 1:15 PM - 4:00 PM
Section outline
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Live Lecture (as part of Epid Tools Workshop): Quantitative Bias Analysis (QBA)
Unfortunately, in real life studies are rarely perfect. In the past, we relied heavily on limitations sections to discuss qualitatively the potential problems. As computational power has expanded, the feasibility and importance of formal quantitative bias analysis (QBA) has grown. In this workshop, Dr. Banack will motivate QBA with her own research on body weight and health. She will illustrate how to move from conceptualization of potential biases to formal evaluation of the plausible range of magnitude of bias, and incorporation of that into presentation of results.
Faculty: Hailey Banack, University of Buffalo
Location: Mission Hall 1406
Please RSVP: https://www.eventbrite.com/e/epi-tools-workshop-hailey-banack-tickets-41222983052 so we can have a headcount and send out materials!
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Watch URL
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Orsini et al Tool for Deterministic and Probabilistic Sensitivity Analyses File
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Flanders et al Epidemiology Brief Report File
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Hernan et al Epidemiology 2004 A structural approach to Selection Bias File
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Fox et al File