Thursday, June 13, 2019

Congratulations Mirabelle Huynh & Wayne Oldford, winners of the annual Department of Statistics and Actuarial Science Teaching Award!

Mirabelle and Wayne smiling

The Department of Statistics and Actuarial Science is proud to announce the winners of the 2019 Teaching Award goes to Mirabelle Huynh and Wayne Oldford!

Tuesday, June 4, 2019

The Master of Actuarial Science program celebrates 10 wonderful years

Diana Skrzydlo and Mary Hardy

The Master’s of Actuarial Science program (MActSc) celebrated its 10 year anniversary with a banquet dinner on Friday May 31, 2019, welcoming back MActSc alumni, faculty, and special guests. 

At the dinner, the faculty's newest scholarship, the Mary R. Hardy Graduate Award in Actuarial Science was announced. This endowed award was created in recognition of Mary Hardy’s immense contributions to the program and the actuarial profession. This award will be given annually to an incoming MActSc student who demonstrates both academic excellence and a strong commitment to serving the public good through volunteering and community service.

It’s not too late to donate!  Please join us in honouring Mary Hardy by supporting this award. Contributions of any size can be made on the scholarship website.

Monday, June 3, 2019

Michael Wallace breaks down assumptions

Michael Wallace

In his second year of undergraduate studies at the University of Cambridge, Michael Wallace realized that statistics are everywhere when he discovered SIGNIFICANCE magazine. He’s since written a number of articles for the magazine as he believes in helping everyone understand statistics and the importance of the subject in our lives.

He began his post-secondary education thinking that he wanted to study pure mathematics, but his attention turned to statistics because he saw the practical applications. While much of his work is theoretical in the field of biostatistics, working with a lot of equations, Wallace is motivated by real-world questions that we are looking to answer.

While completing his PhD at the London School of Hygiene and Tropical Medicine, Wallace put his theoretical education to work with eye doctors at the University of London. Researchers there were completing a study with patients living with amblyopia, a condition where one eye experiences worse vision than the other. Common treatment includes the use of an eye patch over the good eye to retrain the bad eye through use. In this particular study, the eye patch gathered data.

This practical work taught Wallace about the importance of communication. This included learning how to ask the right questions (even if you think one may sound foolish), being prepared to admit that you don’t know what someone means, and being tactful. Helping the physicians – who are not statisticians – quickly understand complex ideas, such as measurement error, was very important. For example, although an eye doctor assesses your eyesight using an eye chart, measurement error may occur if a patient, unsure of a letter, manages to guess it correctly rather than acknowledge that they cannot see it clearly.

Wednesday, May 29, 2019

Dr. Ping Yan's latest work is published by Springer

Quantitative Methods for Investigating Infectious Disease Outbreaks

Dr. Ping Yan's latest work explores systematic treatment of the mathematical underpinnings of work in the theory of outbreak dynamics and their control, covering balanced perspectives between theory and practice including new material on contemporary topics in the field of infectious disease modelling. 

His work entitled "Quantitavtive Methods for Investigating Infectious Disease Outbreaks" has been published by the highly respected Springer Publishing Company. 

Dr. Ping Yan is an adjunct professor in the Department of Statistics and Actuarial Science, at the University of Waterloo. His work focuses on applying statistical and mathematical models in communicable diseases transmission, prevention and control, with a wide range of topics from estimation of HIV/AIDS and viral hepatitis disease burden to informing policy regarding pandemic influenza preparedness, vaccination and emergency response.

Wednesday, May 15, 2019

Survey Research Centre (SRC) is hosting a Data Analysis Workshop

Survey Research Centre logo

The SRC's workshop is titled Survey Research Data Analysis: 101 and Beyond (PDF)

This event will take place on Wednesday May 15 to Thursday May 16, 2019 in Mathematics 3 (M3). 

This workshop provides a crash course on using statistical methods and software when conducting data analysis in survey research. There will be a hands-on opportunity to conduct basic data analysis using SAS software. This workshop is presented by Dr. Christian Boudreau, Co-director of the SRC, along with Grace Li from the International Tobacco Control (ITC) Project.

More information, including registration fee, can be located on the SRC website

Please register by emailing Janice Lam.