PubH 6470-section 1
SAS Procedures & Data Analysis
Meeting Days and Place:
PubH 6470 introduces students with a background in statistics to programming, graphics, and data analysis
The course concentrates on programming using PC-SAS, data editing and reformatting, as well
as statistical applications of SAS procedures: general linear models, logistic regression, longitudinal mixed-
effects models, and survival data.
A one year course in applied statistics at the level of Pubh 6451, Pubh 7406, Stat 5021 or Stat 5302, or
permission of the instructor.
III. Course Goals and Objectives
To provide students experience and practice using SAS to (i) identify and fix errors and problems in data;
write and debug programs; (iii) make and revise graphics; (iv) manage a statistical analysis project and
report their results; and learn to use SAS and internet resources to solve problems and learn new SAS
IV. Methods of Instruction and Work Expectations
Lectures, homework assignments, take-home exams. Assignments will be due at the start of the class, and
we will immediately discuss the problems and answers so please make a photocopy for reference during
Late homework will not be accepted. Students may discuss homeworks and final projects with other
classmates but you must write your own SAS programs, and your homework and exams must be completed
V. Course Text and Readings
Students are encouraged to purchase PC-SAS version 9.2 through the University of Minnesota for $75/year.
On Reserve at the Biomed Library:
The Little SAS Book 4th ed.
by Delwiche and Slaughter, 2008, SAS Institute
SAS Programming for Researchers and Social Scientists
by Phil Spector, Sage
Data Analysis Using Regression and Multilevel/Hierarchical Models
by Gelman and Hill, 2007, Cambridge
Analysis of Clinical Trials Using SAS
Dmitrienko, Molenberghs, Chuang-Stein, Offen, 2005, SAS Institute
SAS for Mixed Models, 2nd ed.
by Littell, Milliken, Stroup, Wolfinger, Schabenburger, 2006, SAS Institute
Logistic regression using the SAS system: theory and application
by Paul Allison, 2001, Wiley-SAS
Categorical Data Analysis Using the SAS System, 2nd ed.
by Stokes, Davis, and Koch, 2009, SAS