This year's lecture is titled 'A standard error. Obsessing about point estimates leads to causal confusion.'
Join Professor Stephen Senn in honouring the life and passion for electronic health record data research of our much missed colleague Adrian Root.
Professor Senn will discuss various concepts and issues in statistical inference, particularly the pitfalls of relying solely on point estimates without considering uncertainty. Overall, Prof Senn will advocate for a more nuanced and pragmatic approach to statistical inference, drawing on the principles of designed experiments, and warn against overlooking important aspects of uncertainty in the pursuit of causal relationships.
Speaker
Professor Stephen Senn, University of Sheffield and Medical University of Vienna
Stephen Senn, is a distinguished statistician renowned for his expertise in clinical trials and biostatistics. He earned his Bachelor's degree in Mathematics from the University of Glasgow in 1974 and later completed his PhD in Statistics at the University of Dundee in 1982. Throughout his career, Senn has made significant contributions to the pharmaceutical industry, focusing on topics such as cross-over designs, randomization and meta-analysis. He has held academic positions at institutions like the University of Glasgow and University College London, alongside roles in industry, notably at AstraZeneca. Stephen has also served as a consultant for numerous organizations, providing guidance on statistical methodologies and trial designs. His contributions have earned him accolades such as the George C. Challis Award for Biostatistics and the Bradford Hill Medal from the Royal Statistical Society, cementing his legacy as a leading figure in the field.
Event notices
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