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The Science and Art of Causality (part 2) | by Quentin Gallea, PhD | Jan, 2023

Let’s put ourselves in the shoes of a detective and explore causal inferenceAs we saw in the first part of this two-part article, measuring a causal effect is critical to drawing the right conclusions, because every choice you make or decision you make is usually the result of expected causal relationships.For example:Individual choices:If I go vegan, I’ll reduce my ecological footprint.If I drink this tequila shot, I’ll dance better.Companies:Home-office reduces productivitySpamming users with YouTube Premium Ads will…

The Science and Art of Causality (part 1) | by Quentin Gallea, PhD | Jan, 2023

If we cannot directly test for causality, what should we do?Image by authorLet me take you with me on a journey in my field of expertise, which is also my passion, my obsession, what I like to call: The science and art of causality.“Causality” refers to the relationship between cause and effect. It’s the idea that one event or action can lead to another event or outcome. In other words, causality is concerned with understanding how things happen and why they happen.In this article we are going to see first going to answer…

Unhappy with statistical significance (p-value)? Here is a simple solution | by Quentin Gallea, PhD | Sep, 2022

Why and how to use forest plots efficiently?From regression to forest plot, image by the authorHumans like to put things into bins in a simple way: Statistically significant or not statistically significant. This dichotomous view of statistical results must stop! For almost a decade, I heard the same debate. On one hand, people argued that statistical significance has the advantage of simplicity and clarity (and many people are already struggling to achieve this). On the other hand, there were those who argued for more…

Three rules to deal with imperfect experimental designs | by Quentin Gallea, PhD | Aug, 2022

Example with a real-life consulting examplePhoto by Irene B.: https://www.pexels.com/photo/sand-dirty-broken-ground-12496974/In the real world, after studying data science or/and statistics, this is what might be most important: how to deal with imperfect real-life data ? As a statistical consultant and teacher of statistics to researchers in in-vivo labs, I am often required to process data after it has been collected. The fact is that there is a gap between the ideal paper experiment designed by a statistician and what…

A recipe to empirically answer any question quickly | by Quentin Gallea, PhD | Jul, 2022

From academia to corporate work, this recipe is for youPhoto by Tobias Rademacher on UnsplashAfter years of doing scientific research, I ended up creating a recipe to start any research project. This recipe, that I am about to share with all of you, helps me every day to have a very structured approach, reducing the risk of missing something and maximizing efficiency.You will see that, as some of the best chef, mastering the basics is enough to come up with something great. This is also my approach here. You will see no…