Stat 771: Longitudinal Data Analysis, Spring 2011
Syllabus: Syllabus (pdf).
Instructor: Tim Hanson. E-mail: hansont@stat.sc.edu.
Office Hours: Monday & Wednesday 1:30-2:30, Tuesday 2:30-3:30, and by appointment.
Office: 219C LeConte College, (803) 777-3859.
Class Meeting Time: Monday/Wednesday 2:30-3:45pm in LeConte College 210A.
Textbook: Marie Davidian's Lecture Notes. Table of contents.
Hundreds of SAS graph examples for your viewing pleasure.
Lecture schedule and notes
Mon., January 10: UNIVERSITY CLOSED DUE TO WEATHER.
Wed., January 12: Course outline, grading. Chapter 1: motivating examples, background.
Mon., January 17: MARTIN LUTHER KING DAY.
Wed., January 19: Chapter 2: review of matrix algebra. Free textbooks on linear algebra by Jim Hefferon and
Robert Beezer. Some of the notation is different, but all the basic concepts are there. A shorter review of matrices with simple examples.
Mon., January 24: Chapter 3: Matrix algebra continued, random vectors, multivariate normal distribution.
Wed., January 26: Chapter 3, continued. Short tutorial on using SAS to get profile (spaghetti) plots. More notes on the multivariate normal. Homework 1 & answers. Dental data and sample SAS code.
Mon., January 31: finish Chapter 3.
Wed., February 2: Chapter 4: signal versus noise in longitudinal data; common covariance matrix structures. More sample code for homework.
Mon., February 7: Chapter 4, continued.
Wed., February 9: Chapter 5, univariate repeated measures. SAS code.
Mon., February 14. Chapter 5, continued. SAS code
Wed., February 16. Chapter 5, continued. Homework 2, insulin data and ramus data.
Mon., February 21. Chapter 6, multivariate analysis of variance (MANOVA). SAS code for dental data.
Wed., February 23. Chapter 6, continued. Chapter 7, limitations of classical methods.
Mon., February 28. Chapter 8, general linear model for longitudinal data. SAS code.
Wed., March 2: Chapter 8 continued: mean and covariance models.
Mon., March 7: SPRING BREAK.
Wed., March 9: SPRING BREAK.
Mon., March 14: Chapter 8 continued: fitting.
Wed., March 16: Chapter 8 continued: Constrasts, AIC, BIC, and likelihood ratio tests. Examples in SAS. Homework 3.
Mon., March 21: CLASS CANCELLED (ENAR).
Wed., March 23: Chapter 8 finished.
Mon., March 28: Chapter 9: random coefficient models.
Wed., March 30: Chapter 9 continued.
Mon., April 4: Chapter 9 SAS examples.
Wed., April 6: Chapter 9: Multilevel modeling, diagnostics and prediction. SAS example; SAS code.
Mon., April 11. Chapter 9, finished: conditional/unconditional residuals, multilevel model diagnostics, SAS example continued. Homework 4 and data.
Wed., April 13. Chapter 11: generalized linear models for non-normal response. Example in PROC GENMOD.
Mon., April 18. Chapter 12: Fitting non-normal longitudinal data via generalized estimating equations in PROC GENMOD. Some notes.
Wed., April 20. Chapter 13: Generalized linear mixed models in PROC GLIMMIX. Some notes. Homework 5, due April 25. Sample SAS code.
Mon., April 25. Chapter 13, continued: missing data. Homework 2 and 3 keys.
Computing resources
R is available for free from the CRAN home page and
students who want SAS can buy
a copy from USC Computer Services. These packages are also available on the computers in the labs in
LeConte College (and elsewhere).