Section outline

  • Live Lecture: 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.

    Please RSVP to event: http://bit.ly/2OqttDh

    Faculty:  Elizabeth Rose Mayeda

    Location:  Mission Hall 1407  and online or +1 669 900 6833 (Meeting ID: 456 559 873)

    • Session Slides:

    • QBA Mayeda UCSF 2020Mar6 Part1 File
    • QBA Mayeda UCSF 2020Mar6 Part2 File

    • Session Audio/Video Recording (Access restricted to registered students):

    • Required Reading:

      Orsini, N., Bellocco, R., Bottai, M., Wolk, A. and Greenland, S., 2008. A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies. Stata Journal, 8(1), pp.29-48.

      http://www.stata-journal.com/article.html?article=st0138


    • Orsini article for QBA HW File
      Not available unless: Your ID number contains 02

    • Optional Reading:


    • 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. File
      Not available unless: Your ID number contains 02
    • Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15(5):615-625. File
      Not available unless: Your ID number contains 02
    • 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
      Not available unless: Your ID number contains 02
    • Last TL, et al. Good practices for quantitative bias analysis. International Journal of Epidemiology. 2014;43(6):1969-1985. File
      Not available unless: Your ID number contains 02

    • Assignment:

    • HW7 QBA Ques to Post W2020 final File

    • Assignment Due Date: March 12, 2020 at the beginning of lecture

    • Homework #7 Submission Assignment

    • Assignment Answer Key (access restricted to registered students):

    • HW7 QBA KEY w2020 v2 File