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Longitudinal Data Analysis
VA Summer Epi/Biostat 2006
Assignments
 
 
 
  • Day 1:
    • Reading: Overview chapter from van Belle, Fisher, Heagerty and Lumley (2004)
      • LDA Chapter --- chapter that overviews longitudinal data analysis methods

  • Day 2:
    • Reading: (optional) DHLZ Chapters 3 and 4; or FLW Chapters 2 and 3

    • Reading: (optional) Edwards (2000) article; Littell (2000) article -- both located in "Handouts" section of web page.

    • Analysis: MACS CD4 and viral load data

      • MACS-cd4-vload0.raw --- Multicenter AIDS Cohort Data
      • MACS-cd4-vload0.txt --- documentation

      • MACS-cd4-vload0-999.raw --- Multicenter AIDS Cohort Data with -999 rather than NA for missing values

      • [1] Input the data and summarize the distribution of baseline viral load.
      • [2] Summarize the distribution of CD4 in years 1, 2, 3, and 4.
      • [3] Summarize the mean CD4 (and standard deviation) in years 1, 2, 3, and 4 separately for groups based on baseline viral load (see Table 18.1 of VFHL).
      • [4] Plot individual series of longitudinal observations for a selection of subjects.
      • [5] Characterize the correlation among CD4 measurements.
      • [6] Compute a slope over time for each subject and summarize these slopes.
      • [7] Plot slopes versus the log baseline viral load. Is there an apparent association between the baseline viral load and the subsequent rate of decline? (see Figure 18.5 in VFHL).
      • [8] Use linear mixed models to evaluate whether the level of CD4 and/or the rate of decline in CD4 is associated with the baseline viral load.
      • [9] Provide an interpretation for the estimates of the variance for the random effects (random intercepts, random slopes).
      • [10] Use generalized estimating equations (GEE) to evaluate whether the level of CD4 and/or the rate of decline in CD4 is associated with the baseline viral load.

    • Comments on Exercise:

  • Day 3
    • Reading: Hanley et al. (2003) AJE paper ----- Hanley (2003)

    • Reading: Hu et al. (1998) AJE paper ----- Hu (1998)

    • Analysis: Infection and vitamin A

      • xerop.raw --- Xeropthalmia data
      • xerop.txt --- documentation

      • [1] Input the data and summarize the prevalence of respiratory infection as a function of age (using descriptive methods).
      • [2] Characterize the within-subject correlation of the binary infection outcomes.
      • [3] Controlling for age and season, use GEE to evaluate whether there is an association between xeropthalmia (vitamin A deficiency) and risk of respiratory infection.
      • [4] Controlling for age and season, use a GLMM to evaluate whether there is an association between xeropthalmia (vitamin A deficiency) and risk of respiratory infection.

    • Comments on Exercise:

  • Day 4:
    • Reading: (optional) Missing Data: chpt 13 of DHLZ, and/or chpt 14 of FLW

      • Optional article: Raghunathan (2004) --- Annual Review of Public Health. Discusses methods for general types of missing data (not just drop-out).
      • Optional article: Hogan et al. (2004) --- Statistics in Medicine. Tutorial article regarding drop-outs in longitudinal studies.
      • Optional article: Houck et al. (2004) --- Psychiatry Research. Compares different methods.
      • Optional article: Wood et al. (2004) --- International Journal of Epidemiology. Compares different methods.

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 Last Updated:
1/25/05

Contact the instructor at: heagerty@u.washington.edu