PubH 8452 Longitudinal Data Analysis (Spring 2008)

Division of Biostatistics, School of Public Health, University of Minnesota

Class Information

Syllabus

Lecture Notes

The lecture notes are modified from Dr. Na Li's 2006 lecture notes (Copyright 2006 Na Li).

Introduction (1)
Exploratory Data Analysis (2 hrs)
General Linear Models (3 hrs)
General Linear Models: Case Studies (2 hrs)
Linear Mixed Models (3 hrs)
Linear Mixed Models: Case Studies (2 hrs)
Generalized Linear Models, Quasi-likelihood and Genralized Estimating Functions (4 hrs)
Marginal Model for Categorical Data (3 hrs)
Marginal Model for Categorical Data: Case Studies (1hr)
Likelihood-Based Methods for Repeated Binary Data (1.5 hrs)
Modeling Approaches: Marginal, Random Effects and Transition Models (1.5 hrs)
Generalized Linear Mixed Models (4 hrs)
Transition Models and Marginalized Models (1 hr)
Time-Dependent Variables (3 hrs)
Missing Data in Longitudinal Studies (2 hrs)

Data Sets

data/tlc.txt	Treatment of Lead-Exposed Children Trial (TLC)
data/ICHS.dat	Indonesian Children Health Study (ICHS)
data/xover1.data	Two-Period Crossover Trial (xover1.txt)
data/xover3.data	Three-Period Crossover Trial (xover3.txt)
data/tera.dat	Teratology Data
data/seize.data	Epileptic Seizure Data
data/orthodontic.dat	Orthodontic Data
data/cd4.dat	CD4 Count Data
data/mscm.data	MSCM Data
data/panss.data	Schizophrenia Trial Data (panss.txt)

Homework Assignments

Paper Presentation

Schedule

Links

Other LDA course

R and S-PLUS

The R and S-PLUS web sites.
- Some useful R functions:
  - lm(stats)
  - groupedData(nlme)
  - reshape(stats)
  - lme(nlme)
  - Variogram(nlme)
  - glm(stats)
  - gee (gee)
  - geese (geepack)
  - alr (alr)
  - gnlr (gnlm)
Linear Mixed Models (appendix to John Fox's An R and S-PLUS Companion to Applied Regression).
R packages available at CRAN: nlme, geepack, gee, lme4, Design, lgtdl, longitudinal.
V. Carey's packages: alr (Alternating Logistic Regression) and yags (Yet Another GEE Solver),
Jim Lindsey's packages: repeated (non-normal repeated measurements models), gnlm (generalized non-linear models).
NLME (S-PLUS)
Ord.EE: GEE for correlated ordinal data (S-PLUS). The ordgee function in package geepack does the same thing.
glmmML: download R package.

SAS