Faculty

Congratulations to Yuling Max Chen on his recent publication in the Journal of the Canadian Health Libraries Association!

The article, titled "Librarian Involvement on Knowledge Synthesis Articles and its Relationship to Article Citation Count and Journal Impact Factor," is an interdisciplinary collaboration with Reference & Subject Librarians Krista Alexander and Katharine Hall from Concordia University.

Congratulations to Jeremy VanderDoes on his recent publication in Public Health!

The article, titled "Exploring the Syndemic Impact of COVID-19 and Mental Health on Health Services Utilization among the Adult Ontario Population," represents a collaborative effort with Kiran Saqib, Vivek Goel, and Zahid A. Butt from the School of Public Health Sciences, as well as Joel A. Dubin from the Department of Statistics and Actuarial Science.

Wednesday, December 11, 2024 9:30 am - 12:00 pm EST (GMT -05:00)

Unlock the First Steps to Binary Data Analysis

A binary variable is one that has only two possible outcomes, such as yes/no, success/failure, or 0/1. In this workshop, participants will learn how to estimate and make inferences about binary response probabilities using logistic regression, a powerful tool widely used in various fields such as healthcare, marketing, and social sciences. Registration is free and open to all University of Waterloo faculty, staff, and graduate students.

Thursday, December 5, 2024 9:30 am - 4:00 pm EST (GMT -05:00)

Analysis of Survey Data: 101 and Beyond

Though the workshop will not go into mathematical details and proofs, it will provide some reasoning and intuition behind the key formulas used in survey sampling. It will also look at various examples using the statistical software SAS (free to students, faculty and staff at the University of Waterloo). In addition to illustrating basic data analysis techniques, those examples aim to provide guidance on some of the pitfalls of analyzing survey data. Part 3 is a practical hands-on opportunity for participants to conduct basic data analysis using SAS on their own laptop.

This two-day workshop will be held in DC 1568. Registration is free for all members of the university.

Wednesday, November 13, 2024 9:30 am - 12:00 pm EST (GMT -05:00)

Statistics Refresher: Revisiting the Essentials

This workshop provides a comprehensive review of fundamental statistical concepts using the R software. Participants will revisit key topics such as descriptive statistics, probability distributions, hypothesis testing, and basic inferential statistics. The session includes practical exercises in R to reinforce understanding and application of these concepts.

Wednesday, October 23, 2024 9:30 am - 4:00 pm EDT (GMT -04:00)

Conducting Surveys with Qualtrics

Learn how to use Qualtrics to create and launch a survey. The goal of this workshop is to provide an overview of the whole process along with some hands-on exercises. The workshop will start with instructions on how to build a survey, then will cover getting it ready for the field, and finish with showing users how to distribute, monitor, and extract their data.

Registration is free to all students, faculty and staff at the University of Waterloo.

Wednesday, September 18, 2024 9:30 am - 12:00 pm EDT (GMT -04:00)

R for Beginners: Your Data Adventure Begins

Join us for an introductory workshop to R, where you’ll learn the fundamentals of this powerful open-source language.

Registration is free and open to all University of Waterloo faculty, staff, and students (both graduate and undergraduate). No prior programming experience is required.

Thursday, June 13, 2024

Yuying Huang Published in Pharmacy

Congratulations to Yuying Huang on her recent publication in Pharmacy. Her article, "The Association between Academic Performance and Entry-to-Practice Milestones within a Co-Operative Education PharmD Program," explores the link between academic assessments, exam success rates, and clinical rotation performance. Collaborating with Ali Syed, Sarah Moroz, John Pugsley, Nancy M. Waite, and Sherilyn K.D. Houle, Yuying used multiple linear regression and backward selection with AIC for model selection. She effectively communicated her findings, resulting in clear and interpretable models.