Biostatistics 411 Analysis of Correlated Data
Winter 2013 - Robert Weiss
News & Announcements:
- Data Analysis Project 3 is now posted.
- Example of using SAS to draw a smooth loess curve through a scatterplot.
- The article mentioned in class on 1/30/2013: Wainer, Howard (1997). Improving Tabular Displays, With NAEP Tables as Examples and Inspirations. Journal of Educational and Behavioral Statistics, 22, 1-30.
- Updating for 2013 is complete.
Class Schedule, Email Addresses, and Office Hours:
|Lecture||12:00 - 1:50||Monday||41-268 CHS|
|Lecture||12:00 - 1:50||Wednesday||41-268 CHS|
|Computer Lab 1||9:00 - 9:50||Thursday||A1-241 CHS|
|Computer Lab 2||10:00 - 10:50||Friday||A1-241 CHS|
|Office Hours||1:50 - 2:30||Monday, Wednesday||51-269 CHS|
|Office Hours||2:00 - 2:50||Tuesday, Friday||73-320 CHS|
Syllabus and Textbook
- 2013 Syllabus
- 2013 Course Information - including schedule, office hours, text information, grading policy, SAS and computer information, handout policy.
- Our textbook's web page Fitzmaurice, Laird and Ware (2011). Applied Longitudinal Analysis, 2nd edition.
- The first edition web page Fitzmaurice, Laird and Ware (2004). Applied Longitudinal Analysis.
- HLM Links - Has links to several helpful resources on Hierarchical Linear Models.
- Useful SAS Links - Has links to several helpful sites.
Readings Our text is Applied Longitudinal Analysis (ALA), 2nd edition by Fitzmaurice, Laird and Ware. Readings are updated for 2013.
- Immediately: Appendices A & B in ALA. If you are not perfectly comfortable with vector and matrix addition and multiplication, please read appendix A immediately! Similarly, read appendix B for a review of the properties of expectation and variance.
- Week 1: Chapters 1 and 2 in ALA.
- Week 2: For lab, look through Singer's paper, link below.
- Week 2: Chapters 3, 4 and 5 in ALA. Chapter 4 may be tough for many. Please do your best, we'll talk about it in class, this chapter is not a make or break part of the material.
- Week 3: Chapters 6 and 7 in ALA.
- Week 3: Overview and Getting Started Chapters in the Proc Mixed Documentation. You may skim parts of the overview that are difficult to read.
- Week 4: Chapters 8 and 11 in ALA. Chapter 9 for additional useful information.
- Week 5: Chapters 12, 13 and 14 in ALA.
- Week 5: Overview and Getting Started Chapters in Glimmix Documentation. You may skim parts of the Overview that are difficult to read.
- Week 6: Chapter 16 in ALA.
- Week 6: Overview and Getting Started Chapters in Genmod Documentation. You may skim parts that are difficult to read.
- Week 8: Chapters 21 and 22 in ALA.
- Week 8: Chapter 9 "Random Effects Models" in Weiss (2005) Modeling Longitudinal Data provides an additional perspective on hierarchical models. Available online through the UCLA library at Scroll down and click onto Springer eBooks (2005-12). Search for "Modeling Longitudinal Data" and click on the first book that appears. Scroll down to chapter 9.
- Week 10: Chapter 13 in Weiss (2005) Modeling Longitudinal Data teaches bivariate longitudinal data. Available online through the UCLA library at Scroll down and click onto Springer eBooks (2005-12). Search for "Modeling Longitudinal Data" and click on the first book that appears. Scroll down to chapter 13.
- Comparable readings for the first edition of ALA.
- Singer's paper on using SAS Prox Mixed
- Homework 1. Due: Feb 4.
- Small mice data
- Dental data
- Homework 2. Due: Feb 20. [Due date changed to 20th.]
- Bolus Count Data
- Morbidity Data
- How to plot means from a fitted model. One way to plot the results for problem 2. This plot works well as a supplemental plot to all parts of the problem.
- Homework 3. Due: Feb 25.
- Morbidity Data
Data Analysis Projects (DAPs)
- Data Analysis Project 1 . Analysis of Girls Growth Data. Due: Monday, March 4 in class. (20130219 09:30)
- Girls' heights for Data Analysis Project 1 (DAP1)
- 2013 Data Analysis Project 2. Due: Monday, March 11 in class.
- BSI Data for Data Analysis Project 2 (DAP2)
- Data Analysis Project 3. Hardcopy (no emails!) Due: Wednesday, March 20, 3pm in Weiss's mailbox in the Biostat office CHS 51-254.
- Kenya Morbidity Data for Data Analysis Project 3 (DAP3)
- Lecture 1. Introduction to Longitudinal Data.
- Lecture 2 notes. Key Concepts for Longitudinal Data
- Lecture 3 notes: Notation, Statistical Concepts, Theory.
- Notes 3 (pdf) Notation and Statistical Concepts
- Lecture 4 notes. Models for the Mean over Time.
- Lecture 5. Patterned Covariance Models.
- Lecture 6. Random Effects Models.
- Lecture 7. Generalized Linear Models.
- Notes 7 (pdf) Generalized Linear Models.
- Lecture 8. Updated for 2013.
- Lecture 9. Updated for 2013.
- Lecture 10. Generalized Estimating Equations. Updated for 2013.
- Lecture 11. Introduction to hierarchical models.
- Lecture 12.
- Lecture 13. Hierarchical longitudinal models with glimmix.
- Lecture 14. Hierarchical longitudinal, and a clinical example.
- Lecture 15 Bivariate Longitudinal Data Analysis.
Labs Labs 2--6 have an assignment to be turned in. Labs are due one week after the day of the lab.
- Lab 1: Introduction to basic data management in SAS for longitudinal data
- Lab 2: Graphics and Response Profile Models for Longitudinal Data
- Lab 3: Pattern covariance models. Mean modeling.
- Lab 4: Random Effects models. Choosing a mean model.
- Lab 5: Glimmix: Logistic and Poisson random effects models.
- Lab 6: Genmod for Binary and Count Data
- Lab 7: Hierarchical Models
- Lab 7 (word)
- Television School and Family Smoking Prevention and Cessation Project from chapter 22 (text). See ALA 2nd ed book page 639 for additional information.
- Lab 8