Today’s clip is from <a rel="noopener noreferrer nofollow" href="https://learnbayesstats.com/episode/148-adaptive-trials-bayesian-thinking-and-learning-from-data-with-scott-berry" target="_blank">episode 148</a> of the podcast, with Scott Berry. In this conversation, Alex and Scott discuss emphasizing the shift from frequentist to Bayesian approaches in clinical trials. They highlight the limitations of traditional trial designs and the advantages of adaptive and platform trials, particularly in the context of COVID-19 treatment. The discussion provides insights into the complexities of trial design and the innovative methodologies that are shaping the future of medical research. Get the full discussion <a rel="noopener noreferrer nofollow" href="https://learnbayesstats.com/episode/148-adaptive-trials-bayesian-thinking-and-learning-from-data-with-scott-berry" target="_blank">here</a>!• Join this channel to get access to perks: <a rel="noopener noreferrer nofollow" href="https://www.patreon.com/c/learnbayesstats" target="_blank">https://www.patreon.com/c/learnbayesstats</a> • Intro to Bayes Course (first 2 lessons free): <a rel="noopener noreferrer nofollow" href="https://topmate.io/alex_andorra/503302" target="_blank">https://topmate.io/alex_andorra/503302</a> • Advanced Regression Course (first 2 lessons free): <a rel="noopener noreferrer nofollow" href="https://topmate.io/alex_andorra/1011122" target="_blank">https://topmate.io/alex_andorra/1011122</a> Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at <a rel="noopener noreferrer nofollow" href="https://bababrinkman.com/" target="_blank">https://bababrinkman.com/</a> !

#149 The Future of Work in Tech, with Alana Karen

Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. So I created "Learning Bayesian Statistics", where you'll get to hear how Bayesian statistics are used to detect black matter in outer space, forecast elections or understand how diseases spread and can ultimately be stopped. But this show is not only about successes -- it's also about failures, because that's how we learn best. So you'll often hear the guests talking about what *didn't* work in their projects, why, and how they overcame these challenges. Because, in the end, we're all lifelong learners! My name is Alex Andorra by the way. By day, I'm a Senior data scientist. By night, I don't (yet) fight crime, but I'm an open-source enthusiast and core contributor to the python packages PyMC and ArviZ. I also love Nutella, but I don't like talking about it – I prefer eating it. So, whether you want to learn Bayesian statistics or hear about the latest libraries, books and applications, this podcast is for you -- just subscribe! You can also support the show and unlock exclusive Bayesian swag on Patreon!