Pitfalls in statistics
Pitfalls in statistics
Workshop series
Computational and Data Systems Initiative
In this workshop you will see examples of statistical/scientific errors of various types. The session will begin with errors produced by chance variation, with probabilities we think we can control. But more important are errors produced by faulty reasoning, overuse of our computing power and over-confidence in what we can learn from big data.
At the end of the workshop, you will be able to better appreciate
> what factors produce 'standard' (statistical) errors
> how modern 'data-analysis' practices can produce even more serious errors
> that the probability of such errors can be larger with larger amounts of data
Pre-requisites? None. Participants are encouraged to read some of the materials provided on this website.
Date: Monday, January 10, 2022
Time: 13:00 to 15:00
Location: online (we will send you a Zoom link before the workshop starts)
Instructor: James Hanley. Dept of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill.
This workshop is offered for free by the Faculty of Science to the McGill community. Due to the limited amount of spots available, if you sign up for a workshop and don't show up, you will not be allowed to attend another workshop this semester.
