Friday, March 4, 2022, 1:10 PM - 3:00 PM (3:00 PM - 4:00 PM Optional)
Section outline
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Quantitative Bias Analysis (QBA)
The focus of this workshop is methods for conducting quantitative bias analysis in epidemiologic research. We will first provide a brief introduction to confounding, information bias, and selection bias using causal diagrams. Next, we will discuss deterministic and probabilistic bias analysis. Dr. Mayeda will discuss examples of specific biases in her own work on determinants of cognitive decline in older adults. At the end of the workshop, participants should walk away with an understanding of the motivations behind quantitative bias analysis and how to use tools for conducting quantitative bias analysis.
The first two hours will contain the material for which students in EPI207 are responsible; the last hour is optional for the class.
Faculty: Elizabeth Rose Mayeda
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Uploaded 10/20/21, 23:41
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Orsini N, et al. A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies. Stata Journal. 2008;8(1):29-48. File
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Mayeda ER, et al. A simulation platform for quantifying survival bias: an application to research on determinants of cognitive decline. American Journal of Epidemiology. 2016 Sep 1;184(5):378-87. (copy) File
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Hernán MA, Hernández-DÃaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15(5):615-625. File
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Fox MP, Lash TL, Greenland S. A method to automate probabilistic sensitivity analyses of misclassified binary variables. International journal of epidemiology. 2005;34(6):1370-1376. File
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Last TL, et al. Good practices for quantitative bias analysis. International Journal of Epidemiology. 2014;43(6):1969-1985. File
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Uploaded 03/4/22, 12:53
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Uploaded 03/4/22, 12:54
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Class Recording - Week 9 Media Resource
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Uploaded 03/4/22, 12:58
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QBA Homework Answer Key File
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