Causal Inference, Clinical Trials & Randomization || Stephen Senn || Causal Bandits Ep. 012 (2024)

Send us Fan MailSupport the showVideo version available on YouTubeDo We Need Probability?Causal inference lies at the very heart of the scientific method. Randomized controlled trials (RCTs; also known as randomized experiemnts or A/B tests) are often called "the golden standard for causal inference".It's a less known fact that randomized trials have their limitations in answering causal questions.What are the most common myths about randomization?What causal questions can and cannot be answered with randomized experiments? Finally, why do we need probability? Join me on a fascinating journey into clinical trials, randomization and generalization. Ready to meet Stephen Senn? About The GuestStephen Senn, PhD, is a statistician and consultant specializing in clinical trials for drug development. He is a former Group Head at Ciba-Geigy and has served as a professor at the University of Glasgow and University College London (UCL). He is the author of "Statistical Issues in Drug Development," "Crossover Trials in Clinical Research," and "Dicing with Death". Connect with Stephen: - Stephen on Twitter/X- Stephen on LinkedIn- Stephen's web pageAbout The HostAleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality.Connect with Alex:- Alex on the InternetLinksFind the links hereCausal Bandits TeamProject Coordinator: Taiba MalikVideo and Audio Editing: Navneet Sharma, Aleksander Molak#causalai #causalinference #causality #abtest #statistics #experiementsSupport the showCausal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn:   https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io  The Causal Book: https://amzn.to/3QhsRz4