Date: Tuesday 5th May 2026
Time: 14:00 - 15:00 GMT | 9:00 - 10:00 EST (US) | 15:00 - 16:00 CET
Location: Online via Zoom
Speakers: Nick Galwey, GSK (Retired)
Science is currently facing a ‘replication crisis’ – a concern that many scientific findings reported are difficult or impossible to reproduce. A major cause of this is the availability of technology that permits the exploration and testing of very large numbers of hypotheses, some of which will almost certainly show significant or large effects by chance, even when no real effects are present: this is the ‘multiplicity’ or ‘multiple testing’ problem. The statistical tools available to address this problem include:
This talk will first examine the conceptual basis for each of these tools, then consider how they are connected. Though the FDR and shrunk estimates are both conventionally presented in the frequentist statistical framework, they can both also be presented in empirical-Bayesian terms, the prior probability distribution being calculated from the data relating to the m hypotheses tested, as follows:
Speaker | Biography |
Nick Galwey, Former Statistics Leader, GSK (retired) | Nick was a demonstrator and lecturer in biometry and plant breeding at the University of Cambridge from 1979 to 1995, when he was appointed to a senior lectureship at the University of Western Australia, Perth. In 2001 he returned to the UK, working as a statistical geneticist at Oxagen Limited, Oxfordshire, until 2004. He then moved to GlaxoSmithKline, first as a statistical geneticist and later as a statistician, supporting pre clinical and clinical research and epidemiology, until he retired in September 2024. He is the author, or a co-author, of more than 100 scientific papers. His most recent book is: Galwey, N.W. (2025) The False Discovery Rate: Its Meaning, Interpretation and Application in Data Science. Chichester, UK: Wiley. 266pp. ISBN 9781119889779 |
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This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
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