Biased to Bias
This educational session aims at demonstrating how BIAS can be present in basically all studies and how to avoid this. The presentation consists of a lecture and an (made up) abstract that has been strongly downplayed by bias. Bias can be hard or almost impossible for the reviewer to discover and, at the end of the day, honesty and ethics are key elements in safe and sound research.
- Download "Bias Part 1" presentation as PDF or PowerPoint
- Download "Bias Part 2" presentation as PDF or PowerPoint
Chance: The (surprising) secrets of luck, randomness and probability
Our perception of the truth is influenced by a number of factors. Three of the most powerful include bias, relying too heavily on our own intuition and a poor understanding of statistical significance. This lecture will seek to reveal our generalization bias, demonstrate how the proper use of statistics can serve as an aid to our intuition and uncover the weaknesses of the P value.
Everything you should know about statistics in 45 terrifying minutes
A basic understanding of statistics is vital for physicians to know in order to evaluate and interpret the published literature that guides them in patient treatment choices. Unfortunately, this skill is often not taught or under-taught in most medical education programs. This session will touch on areas of statistics which are important to understand, and may assist you in critically evaluating medical literature or develop your own statistical plan.
Navigating amidst predators and falsehood: how to preserve HMS science
Scientific progress relies on the sharing of reliable information, research and experience. This talk looks at how Science can be endangered by fake news and predatory journals.
- PowerPoint presentation not available.