#79 Decision-Making & Cost Effectiveness Analysis for Health Economics, with Gianluca Baio скачать в хорошем качестве

#79 Decision-Making & Cost Effectiveness Analysis for Health Economics, with Gianluca Baio

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! https://www.pymc-labs.io/ Decision-making and cost effectiveness analyses rarely get as important as in the health systems — where matters of life and death are not a metaphor. Bayesian statistical modeling is extremely helpful in this field, with its ability to quantify uncertainty, include domain knowledge, and incorporate causal reasoning. Specialized in all these topics, Gianluca Baio was the person to talk to for this episode. He’ll tell us about this kind of models, and how to understand them. Gianluca is currently the head of the department of Statistical Science at University College London. He studied Statistics and Economics at the University of Florence (Italy), and completed a PhD in Applied Statistics, again at the beautiful University of Florence. He’s also a very skilled pizzaiolo — so now I have two reasons to come back to visit Tuscany… Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ ! Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor, Thomas Wiecki, Chad Scherrer, Nathaniel Neitzke, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Raul Maldonado, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, David Haas, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Trey Causey, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, and Arkady. Visit   / learnbayesstats   to unlock exclusive Bayesian swag ;) Links from the show: Gianluca’s website: https://gianluca.statistica.it/ Gianluca on GitHub: https://github.com/giabaio Gianluca on Mastodon: https://mas.to/@gianlubaio Gianluca on Twitter:   / gianlubaio   Gianluca on Linkedin:   / gianluca-baio-b893879   Gianluca’s articles on arXiv: https://arxiv.org/a/baio_g_1.html R for Health Technology Assessment (HTA) Consortium: https://r-hta.org/ LBS #50 – Ta(l)king Risks & Embracing Uncertainty, with David Spiegelhalter: https://learnbayesstats.com/episode/5... LBS #45 – Biostats & Clinical Trial Design, with Frank Harrell: https://learnbayesstats.com/episode/4... How to find priors intuitively=    • How to find priors intuitively   Hierarchical Bayesian Modeling of Survey Data with Post-stratification:    • Hierarchical Bayesian Modeling of Survey D...   LBS Topical Playlists (also available as RSS feeds on the website): https://www.youtube.com/@learningbaye...