Section outline

  • Lecture:  Clustered Data Arising from Repeated Measures or Contextual Effects
     This lecture will discuss using random effects/multilevel models for repeated measures and neighborhood effects estimation.

    Faculty:  Maria Glymour

    Location:      Mission Hall 1106

    • Required Reading:

      1. Hanley et al., Statistical analysis of correlated data using GEE: an orientation.  Am J Epi 2003 v 157, pg 364. 
      2. Singer, J. D. (1998). "Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models." Journal of Educational and Behavioral Statistics 24(4): 323-355.
      3. 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.
      4. 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. 
      5. Arcaya M (2013) "Effects of Proximate Foreclosed Properties on Individuals’ Weight Gain in Massachusetts, 1987–2008"  Am J Public Health
    • Readings File
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    • Hubbard GEE File
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    • Hanley GEE Am. J. Epidemiol.-2003-Hanley-364-75 File
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    • wilson edn cogDecline File
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    • Singer MixedMultilevel File
    • Lecture 3 quiz answers File
    • RhovsICCv7 File