Stat 771 (Bios 770), Spring 2011

### 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.
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).