The Faculty of Medicine Office of Research is pleased to re-launch their program aimed at providing statistical consultation services to Medical (MD) students undertaking research and scholarly projects.

We will provide successful MD student applicants with a one-hour statistical consultation along with a summary report of recommendations.

Contact Courtney Bryce (Student Research & Education Coordinator) or Patryk Krolikowski (Awards and Admininstrative Assistant) med.studentresearch@ubc.ca to inquire about the next application deadline.

As in the previous four summers, ASDa is pleased to provide workshops for this years student teams in the DSSG Summer program, training undergraduate and graduate students from diverse backgrounds. Topics include R, graphics with ggplot2, data manipulation with dplyr, reproducible research with R, Makefile, git, gitLab and Rmarkdown, introduction to machine learning, and introduction to statistical modeling techniques such as linear regression, mixed effect models, logistic, Poisson and Negative Binomial regression and splines. ASDa will also continue to provide systems, applications and IT support for each of the student projects.

For more information visit: https://dsi.ubc.ca/data-science-social-good

Free consulting is offered by statistics students taking practicum consulting courses.

Free advice through STAT 551 starts in September 2021 and project submissions are accepted anytime from now until October 31, 2021.

Email us a one-page description of your project. See an example of what we are looking for.

Free analysis through STAT 450/550 will start up again in January 2022.

See https://www.stat.ubc.ca/how-can-you-get-help-your-data for more details.

The Statistical Opportunity for Students (SOS) program is designed to help UBC graduate students formulate and understand the statistical issues involved in their research projects and is open year-round to all UBC graduate students. If you are a graduate student at UBC, you are eligible for a meeting with an ASDa consultant to discuss your project and address your statistical questions, following which you will receive a written summary with recommendations. This service is provided at no charge to you.

See our SOS program page for details on how to apply.

ASDa provides a 6-part series of webinars that focus on the foundations of Statistics and is geared towards a level that assumes no statistical background. Each of the sessions is offered once in the school year by the Graduate Pathways to Success program.

Subjects covered are exploratory data analysis, study design and data collection essentials, two group comparisons and ANOVA, correlation and linear regression, logistic and poisson regression and mixed effects models.

Interested? See the GPS Workshps and Events page for dates and to register.