Section outline

  • Lecture: Instrumental Variables Analyses

    Faculty:  Maria Glymour


    Location:      Rock Hall 102

    • Session Slides:

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

    • Watch URL
    • AngristKrueger Applied IV File
      Not available unless: Your ID number contains 02
    • Glymour Walter Tchetgen Tchetgen Intro IV Chapter File
      Not available unless: Your ID number contains 02
    • Ludwig NbhdsObesityDiabetes File
      Not available unless: Your ID number contains 02
    • Brookhart IV CompEffective2010 File
      Not available unless: Your ID number contains 02

    • Required Reading:

      Required reading:
      • Angrist and Krueger.  Beyond supply and demand.  This is a friendly (for an economist) introduction to using IV to address confounding bias.  The best part is the examples (Table 1!).
      • Brookhart.  Comparative Effectiveness IVs.  Nice examples of using IVs in diverse health research settings.
      • Ludwig.  IV applied to an actual trial (Moving to Opportunity).  Very intuitive setting.
      Optional reading:
      • Glymour Walter, Tchetgen Tchetgen. Methods in Social Epi chapter 19.  This is a long chapter so you may not want to read it all, but it summarizes most of what Maria has to say on the topic

    • Assignment: 

      Find an RCT of interest to you.   Describe:
      1) What was the exposure and outcome being evaluated?
      2) What was the adherence to randomly assigned treatment (and how was it measured)?
      3) What was the primary intent-to-treat effect estimate?  
      4) Did they report an IV effect estimate?  
      5) Would an IV effect estimate have been of interest in this study?  
      6) If so, do you think the IV estimate would be of more interest than the ITT estimate?  Why/why not?
      7) Can you calculate the IV effect estimate based on the information provided?  If so, what is it?  If not, why not?

    • Session Slides on IV File