Section outline

  • Lecture:  Basic analytic issues in HDR

    Given the complex social and biologic context in which health disparities are manifested, research in this areas requires nuanced application of statistical concepts related to confounding, mediation, moderation, and clustering. In this lecture, we will highlight aspects of statistical analysis of particular relevance to health disparities, including how to quantify disparities and evaluate determinants of inequalities, how to best build multivariate models, how to investigate race/SES interactions, principles of sub-group reporting and statistical power in health disparities research, as well as an overview of multilevel analyses.

    Faculty:  Mahasin Mujahid

    Location:     Mission Hall 1406

    • Session Slides:

    • USCF Guest Lecture Basic Analytic Issues 2017 File

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

    • Required Reading:

    • Lorch mediation File
    • Headen EM File
    • Merlo multilevel File

    • Assignment:

      Please post in the Forum.

      1. What are the different ways to account for SES in an analytic model when investigating racial/ethnic health disparities? (Hint: you should have three options). Discuss the interpretations/implications of each approach as it relates to the interest in understand health disparities by race/ethnicity. Draw a DAG for each option and reference it in your response (you do not have to post this!).
      2. Think about multilevel influences on a health outcome of interest to you. Discuss how you would study this, including measurement and analytic approaches you would use to account for exposures across multiple levels.
      3. Respond to one other person's post on the forum with a comment or suggestion.

    • Assignment Due Date:  February 28th at 12:00pm