Podcast

Linear mixed models – a refresher and introduction

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Together with Paolo, We kick off by revisiting the basics of linear models and why they form such a crucial foundation in data analysis. From there, we delve into the fascinating history of linear mixed effects models, tracing their development back to the early ’80s with Lerder Rubin’s influential work.

The 4+1 Phases of Learning

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I am eager to navigate the “4+1 phases of learning” with you today. This topic, central to our leadership course, particularly targets supervisors but resonates with everyone in a professional setting.

Global vs Local

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Have you ever wondered about the complexities that arise within pharmaceutical companies due to the division between global and local operations?

Why do these realms often operate with such distinct perspectives, and how do they impact our mission to deliver effective healthcare solutions globally?

How To Learn And Get Better On Your Influencing Skills

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In today’s episode, I dive deep into how you can improve your influencing skills. When I talk about influencing skills, I mean all the crucial abilities you need to be effective in. It’s not just about leading teams; it’s also about how you, as a statistician, data scientist, or programmer, lead your peers and even your supervisors.

Obsession About Bias

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In this insightful episode, I challenge the traditional view that bias is inherently negative by exploring its relationship with precision. Through examples ranging from indirect comparisons to subgroup analysis, I illustrate the trade-offs between reducing bias and achieving precise estimates.