Section outline

  • Lecture: Clustered Data: Person level clustering
     This lecture will continue the clustered data discussion from class 2, but instead of focusing on clustering due to spatial autocorrelation, we will discuss clustering due to repeated measures on the same person. This lays the foundation for growth curve analyses of longitudinal change over time. 

    Faculty: Maria Glymour

    Location: Mission Hall 1406

    • Session Slides:

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

    • Watch URL

    • Required Reading:

      1. Wilson RS, Hebert LE, Scherr PA, Barnes LL, Mendes de Leon CF, Evans DA. Educational attainment and cognitive decline in old age. Neurology. 2009;72(5):460.
      2. Hanley et al., Statistical analysis of correlated data using GEE: an orientation.  Am J Epi 2003 v 157, pg 364. 
      3. Hubbard et al To GEE or not to GEE.  Comparing Population Average and Mixed Models for Estimating ASsociations Between Neighborhood Risk Factors and Health. Epidemiology 2010. 
    • wilson edn cogDecline File
      Not available unless: Your ID number contains 02
    • Hubbard GEE File
      Not available unless: Your ID number contains 02
    • Hanley GEE Am. J. Epidemiol.-2003-Hanley-364-75 File
      Not available unless: Your ID number contains 02

    • Optional Reading:  Interaction methods are central to growth curve models.  If you are rusty on interactions, the VanderWeele article is highly recommended.

    • VanderWeele.InteractionTutorial 2014 File
    • Optional reading URL
    • lecture 4 File
    • Lecture 4 in class quiz File