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This is the "Introduction to R for health researchers" page of the "Welcome to Toronto Health Economics and Technology Assessment Collaborative" guide.
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Welcome to Toronto Health Economics and Technology Assessment Collaborative  

Last Updated: Mar 24, 2017 URL: http://theta.utoronto.ca/HomePage Print Guide

Introduction to R for health researchers Print Page

Introduction to R for health researchers

General information about the course

This course has ended. Please check our website in spring for the upcoming courses.
Registration for both In-Person and Webinar options is closed.

We are planning to offer another Introduction to R course for late spring 2017.
If you are interested please contact us and we will send you information about the new course as soon as it will be available.

R is a powerful and flexible software environment for statistical analysis, high quality graphics and decision modelling. R is freely available, facilitating analysis and model transparency and reproducibility. Last few years it has been increasingly popular among health researchers. 

Biostatistics Research Unit (BRU) at UHN, THETA Collaborative and the Hospital for Sick Children will be providing a 1-day "Introduction to R for health researchers" course on Monday, February 6th, 2017, 9am to 5pm.

Participant experience

Participants will be expected to have some basic knowledge of statistics but are not expected to be familiar with R. 

There will also be an option for real-time, interactive webinar participation in the course. Webinar participants will have the ability of audiovisual participation and access to a platform that will provide real-time support from the course instructors (for details about fees please see here)

For more information please contact: Beena Vyas

Contact information & location details

The course will be offered at:

Toronto Health Economics and Technology Assessment (THETA) Collaborative
University Health Network
Toronto General Hospital
Eaton Building, 10th Floor, Room 248
200 Elizabeth Street, Toronto, ON M5G 2C4

Phone: 416 634 7245
Fax: 416 340 3459
Email: info@theta.utoronto.ca




Please find below a list of the topics that will be covered  during the day 

Introduction to R for health researchers

  • Getting to know the R interface
  • Getting help in R
  • Types of data
  • Importing/exporting data
  • Basic data handling
  • Loading packages
  • Simple mathematics in R
  • Scalars, Vectors and Matrices in R
  • Advanced data handling
  • Handling missing values / imputations
  • Plotting in R
  • Generating values from distributions
  • “For” and “if” statements ; the apply function
  • Building functions in R
  • Installing R studios


Faculty Members 2017

Nicholas Mitsakakis, MSc, PhD, Biostatistician at Biostatistics Research Unit (BRU) at University Health Network,  Assistant Professor at the Institute of Health Policy, Management and Evaluation, University of Toronto. 

Petros Pechlivanoglou, MSc, PhD, Health Economist, Scientist at Child Health Evaluative Sciences, Sick Kids Hospital, Toronto.

George Tomlinson, MSc, PhD, Biostatistician, Director of the Biostatistics Research Unit, University Health Network, Toronto;  Associate Professor at the Institute of Health Policy, Management and Evaluation, University of Toronto. 

John Matelski, MSc, Biostatistician at the Biostatistics Research Unit, University Health Network, Toronto

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Fees & Registration

Course Fee: per person for the 1-day course

In-Person: $ 200 (light refreshments will be provided)

Online interactive webinar: $150 (real-time support from the course instructors)

Register for this course:  In-Person and Webinar
For more information please contact: beena.vyas@theta.utoronto.ca

Registration Opens: November 7, 2016 

Registration Closes: February 5, 2017

  • Leslie Dan Faculty of Pharmacy at the University of Toronto
  • Institute of Health Policy, Management and Evaluation (IHPME)
  • UHN - Toronto General Hospital

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