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  • Beginner: R for Absolute BeginnersFeb 4, 2019 - Feb 13, 20191:30 pm - 3:30 pm
  • Intermediate: Using R for Basic StatsFeb 25, 2019 - Mar 6, 20191:30 pm - 3:30 pm
  • Advanced: Multilevel Models for Hierarchical Data with RMar 11, 2019 - Mar 13, 20191:30 pm - 4:30 pm

Location

UM Bannatyne: Chown Building, TBA

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

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R is a highly adaptable, no-cost programming environment for statistical analysis and visualization. You can learn basic, intermediate, and/or advanced skills with the Centre for Healthcare Innovation Data Science platform’s R workshops.

Register for any or all for the workshops based on your level of experience with R.

 

(1) Beginner: R for Absolute Beginners

Description:

This workshop series will introduce participants to R and RStudio by providing instruction and hands on exercises. Participants will leave with an understanding of basic principals in the use of R for data analysis, including the basics of importing data, data manipulation, and simple graphics. No programming experience is required.

Objectives:

  • Introduce R and RStudio
  • Learn about the basic data structures in R
  • Practice basics of importing and exporting datasets
  • Introduce basic data management techniques
  • Learn elementary graphic functions for data visualization

Dates:

This course will run on February 4, 6, 11, and 13 from 1:30pm – 3:30pm each day.

Location:

Room 474, Chown Building, 753 McDermot Avenue

Cost:

$50.00 – Academic, Researchers and Students

Poster


(2) Intermediate: Using R for Basic Stats

Description:

This hands-on workshop will get you ready to do basic statistical analyses in R. Previous introductory experience with R (e.g, our “R for Absolute Beginners”) will be assumed. We will discuss: odds ratios, correlations, t-tests, chi-squared tests, and linear and logistic regression.

Objectives:

  • Ability to conduct basic statistical analyses of your own data using R
  • Increased understanding of when to use t-tests, chi-square tests, linear and logistic regression and how to do so in R
  • Greater appreciation for situations where more advanced techniques might be appropriate

Dates:

This course will run on February 25, 27, March 4, and 6 from 1:30pm – 3:30pm each day.

Location:

Room 207, Chown Building, 753 McDermot Avenue

Cost:

$50.00 – Academic, Researchers and Students

Poster


(3) Advanced: Multilevel Models for Hierarchical Data with R

Previous experience with R and linear regression with any software will be assumed.

Description:

Multilevel models are extensions of regression for data that have a hierarchical (or nested) structure.  This two half-day workshop provides an intensive introduction to multilevel models. The workshop will focus on hands-on understanding and draw from examples across the social and health sciences.

Objectives:

After completing the course, students will:

  • Understand the concept of multilevel model: varying regression coefficients between groups;
  • Know the technical and substantive difference between fixed and random effects;
  • Understand random intercepts, random coefficients, and crossed random effects models and know when to use each one;
  • Know how to estimate these models with R and interpret the result.

Dates:

This course will run on March 11 & 13 from 1:30pm – 4:30pm each day.

Location:

Room 207, Chown Building, 753 McDermot Avenue

Cost:

$50.00 – Academic, Researchers and Students

Poster


Contact Information:

For more information, please email Kristine.Kroeker@umanitoba.ca.


Registration Cancellation Policy:

A registration refund will be made upon written request on or before three days prior to each event. A $35 administrative fee will be retained. No refunds will be made for cancellations after this date.

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Program Coordinator

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    Amanda Osorio

    Training, Education and Event Coordinator
    George & Fay Yee Centre for Healthcare Innovation
    Tel: 204-594-5348
    Fax: 204-594-5394
    Email: aosorio@wrha.mb.ca