PH252: Epidemiologic Analysis

In Fall 2022, I co-instructed PH252 with Dr. Patrick Bradshaw. Thirty-six students were enrolled in this course, including mostly MPH and doctoral epidemiology students.

PH292: Biostatistics Seminar for MA Biostatistics Students

Between Spring 2019 and Spring 2023, I have taught the MA biostatistics seminar. I developed this seminar course for the MA biostatistics students. The focus on this course is academic writing of thesis and peer-reviewed manuscripts for a statistical audience. This seminar focused on developing academic writing skills, and the peer review process including manuscript submission and review. Guest lectures were also invited to speak on literature reviews and statistical jobs in non-academic settings to prepare these students for the job market.

PH142: Introduction to Biostatistics for Public Health Majors

Between Fall 2018 and Fall 2021, I was the primary instructor for PH142, which had 245-345 students each semester. In 2018, I led a complete redevelopment of this course to include the following elements:

• A complete integration of R and RStudio throughout lectures, labs, and discussion sections. Students (many with no previous coding experience) complete the majority of their assignments in R markdown and run RStudio on RStudio Cloud.
• An immediate introduction to the tidyverse, including dplyr for data manipulation and ggplot2 for data visualization, among other packages likes readr and forcats.
• Students see and manipulate data sets often. As much as possible, data are chosen from published public health research findings so that students gain hands-on experience manipulating data and develop confidence applying their statistical skills.

PH241R: Categorical Data Analysis

This course follows the flipped classroom model, with pre-recorded lectures and live discussion and lab sections. Both in residence and online Master’s of Public Health students are enrolled. I developed the discussion material for this course.

Resources from past lectures and workshops

I have developed and delivered numerous lectures to PhD and MSc epidemiology students and medical residents at McGill University and the University of British Columbia during my graduate studies. I was a co-instructor of an undergraduate Statistics course during my Master’s degree at the University of British Columbia, and a teaching assistant for two Statistics courses during my Master’s and one Mathematics course during my Bachelor’s degree. I was awarded two prizes for teaching: the Statistical Department Graduate Teaching Assistant Award, and the Killam Graduate Teaching Assistant Award.

• Data manipulation and data visualization in R, for beginners
  • R script, sample dataset #1, sample dataset #2, technical setup instructions
  • Guest Lecturer, EPIB602 (McGill): Foundations of Population Health. Fall 2017.
• Dose response and trend analysis
  • pdf slides, pdf notes, datasets for practice: hispnlms.txt, mksp1.dta
  • Guest Lecturer, EPIB704 (McGill): Epidemiologic Analysis: Annual Lecture on Dose Response and Trend Analysis. Fall 2012–2017.
• Some programming tips, the bootstrap, and simulation studies
  • html slides, Rmd file
  • Guest Lecturer, EPIB604 (McGill): Epidemiologic Analysis: 1 Lecture on Bootstrap and Simulation Studies. September 14, 2016.
• Measures of effect and measures of association
  • pdf slides, pdf notes, Don’t trust the Odds Ratio: Excel#1, Excel#2
  • Guest Lecturer, EPIB704 (McGill): Epidemiologic Analysis: Annual Lecture on Measures of effect and measures of association. Fall 2013–2017.
• Measures of occurrence
  • pdf slides, pdf notes
  • Guest Lecturer, EPIB604 (McGill): Epidemiologic Analysis: Annual Lecture on Measures of occurrence. Fall 2013-2016.
• Multiple imputation using chained equations
  • pptx slides
  • Guest Lecturer, EPIB609 (McGill): Seminar on Advanced Methods in Epidemiology: 1 Lecture on Multiple Imputation using Chained Equations. Fall 2014.

Old presentations

• Guest Lecturer, Royal Victoria Hospital Residents teaching block: Limitations to before-and-after studies and ways forward. May 2014.

• Guest Lecturer, EPIB672 (McGill): Estimating Causal Effects of Social Policy: An applied example of instrumental variable analysis. Spring 2013.

Other teaching experiences

• Course Module Instructor, STAT100 (University of British Columbia): Statistical Thinking: Instructor of the Probability Module. Winter 2011.

• Teaching Assistant, STAT200 (University of British Columbia): Elementary Statistics for Applications. Fall 2009 & Winter 2010.

• Teaching Assistant, MATH128 (University of Waterloo): Calculus for the Sciences. Fall 2005.