Introduction to SAS for Absolute Beginners (Sept. 28, 29, Oct. 5, 6)

  • Home
  • /
  • Events
  • /
  • Introduction to SAS for Absolute Beginners (Sept. 28, 29, Oct. 5, 6)

Event Date & TimeClick the calendar icon to add events to your Personal Calendar

  • Introduction to SAS for Absolute Beginners (Sept. 28, 29, Oct. 5, 6)Sep 28, 2022 - Oct 6, 20221:00 pm - 3:30 pm

Location

UM Bannatyne: Chown Building: Room 474, George & Fay Yee Centre for Healthcare Innovation

Address:
753 McDermot Ave., Chown Building, Room 474, Winnipeg, Manitoba, Canada, R3E 0T6

* You must be logged in to purchase event tickets.

Description:

SAS is a powerful programming language used throughout academia and business. It offers a syntax-based environment for data management, graphics, simple and advanced statistical analyses, and reproducible workflows.


Objectives:

This workshop is intended for those with training in basic statistics, but without any SAS experience. The goal is to provide participants with all the skills necessary to:

  • Import and clean slightly messy data;

  • Create variables and merge data;

  • Introduce programming loops and arrays;

  • Produce descriptive statistics and basic plots;

  • Perform common analyses such as t-tests and linear regression; and

  • Produce PDF report documents via the ODS delivery system.

Slightly more advanced programming tricks may be covered if time allows. There will be a hands-on component to the workshop for participants with SAS installed. This is encouraged, but not mandatory.

Note that this workshop covers the SAS programming environment and not cloud-computing SAS Viya products.


Event Dates/Time:

Wed, Sept 28; Thurs, Sept 29; Wed, Oct. 5; Thurs, Oct. 6

1:00pm – 3:30pm


Cost:

$50.00 – Academic, Researchers and Students


Speaker:

Brenden Dufault is a full-time biostatistical consultant with the George and Fay Yee Centre for Healthcare Innovation. He has 10 years of experience with the design and analysis of both observational studies and randomized trials in fields relating to human health. His interests include mixed-effects, latent mixture, and high-dimensional prediction models. Bayesian curious.


SAS Application for U of M faculty, staff, and students can be accessed at the following link:

https://umanitoba.ca/computing/ist/software/media/SAS_Application_2017.pdf


Contact Information:

For more information, please email DataScience@chimb.ca.


Registration Cancellation Policy:

A registration refund will be made upon written request on or before September 21, 2022. A $35 administrative fee will be retained. No refunds will be made for cancellations after this date.

* You must be logged in to purchase event tickets.