SAS examples
Programs matched to lecture examples and Homework 1.
Browse programs →Spring 2019 · Course archive
Applied
Longitudinal
Analysis
Instructor: Lu Mao, PhD
University of Wisconsin-Madison
A practical course in modeling correlated outcomes—from response profiles and mixed effects models to GEE, missing data, smoothing, and multilevel models.
About these materials
Course materials are adapted from Applied Longitudinal Analysis by Garrett M. Fitzmaurice, Nan M. Laird, and James H. Ware (Wiley).
24 lectures SAS programs datasets
From the Spring 2019 classroom
Student perspectives
“This course not only teaches us theoretical knowledge, but also gives us practical operations opportunity using SAS.”
“Dr. Mao was one of the most responsive instructors I have ever had.”
Selected feedback from UW–Madison’s anonymous Spring 2019 end-of-term evaluation, POP HLTH/B M I 651. Mean ratings on a 1–7 scale (7 highest); 5 of 8 students responded.
Course sequence
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Study desk
Course resources
Practice data
Lecture and assignment datasets, plus optional practice data.
Browse datasets →References & course documents
Matrix operations, model diagnostics, time-varying confounding, assignments, and the historical schedule.
Browse documents →Download the data listed with each program and set your SAS working directory to the folder containing those data files. See the materials guide for usage notes and known gaps.
Code, data & references
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