April 5 | Webinar on Bias in Statistics | CANSSI Saskatchewan HSCC

This online presentation is part of the CANSSI Saskatechewan HSCC Winter 2022 Webinar Series, which runs from January to April 2022. We invite you to join us—register below.

Title: 
Bias in Statistics: What Is It, How Does It Arise, and How Can We Avoid It?

Speaker:
Professor Jerry Lawless, University of Waterloo

Date and time:
Tuesday, April 5, 2022 | 10 – 11 am Saskatchewan time

This event is past | Watch the webinar recording

Abstract:
The term bias has numerous meanings in science. The common statistical definition refers to the tendency of an estimation procedure to over- or under-estimate a target parameter in some population. This concept and related versions that address hypothesis testing and prediction are relevant in many settings. I will describe some of the ways that bias of this type arises in areas such as health research, economics and social science, and discuss ways to avoid or reduce bias through study design, modelling and enhanced data collection. I will briefly consider related issues associated with replicability, big data, data science and AI algorithms.

The Canadian Statistical Sciences Institute (CANSSI) Saskatchewan HSCC is designated by CANSSI and comprised of researchers and trainees from the University of Saskatchewan and the University of Regina.

For more details about the webinar series, please visit: https://research-groups.usask.ca/canssisk/

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