140.631.41
The SAS Statistical Package: a Survey for Statisticians
 Location:
 Internet
 Term:
 3rd term
 Department:
 Biostatistics
 Credits:
 3 credits
 Academic Year:
 2022  2023
 Instruction Method:
 Synchronous Online
 Class Times:

 Tu Th, 1:30  2:50pm
 Auditors Allowed:
 Yes, with instructor consent
 Undergrads Allowed:
 No
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructor:
 Contact:
 Aidan McDermott
 Resources:
 Prerequisite:
 Description:

Introduces students to the SAS statistical package using the SAS Studio interface. Using examples of public health data students learn to write programs to summarize data and to perform statistical analyses. Using the interactive matrix language introduces computation within a matrix environment and the development of modular programming techniques.
 Learning Objectives:

Upon successfully completing this course, students will be able to:
 Write and execute programs using SAS syntax
 Read and transform data in preparation for statistical analysis
 Create tabular and graphical displays of data
 Perform simple statistical analyses such as linear regression
 Utilize the SAS matrix language to perform matrix computations
 Employ optimization procedures and functions to maximize simple likelihoods
 Methods of Assessment:
This course is evaluated as follows:
 5% Participation
 80% Inclass Exercises
 15% Problem sets
 Instructor Consent:
Consent required for all students
 Consent Note:
All students must obtain consent
 For consent, contact:
 Special Comments:
Please note: This is the virtual/online section of a course that is also offered onsite. Students will need to commit to the modality for which they register. Priority will be given to 1styear Biostatistics ScM students, for whom this course is required.