Seminar of the UCL Network of Applied Statistician in Health (NASH) on 21 May 2024. This was a double bill with Hilary Watt (Senior Teaching Fellow and Stats Teaching Expert at Imperial College) and Peter Martin (Associate Professor in Biostatistics, UCL). The presentations offer conceptual explanations of p-values and confidence intervals that steer away from common poor standards of applied statistical interpretations. If it's your job to teach students hypothesis tests and/or to explain to your collaborators why p<0.05 does NOT mean "Hurray, we found an effect", this seminar is for you! (Presentation slides are available as attachments.)

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5/28/2024

Interview about Wind Energy Modelling in Statistics

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5/23/2024

The first video in a series of interviews with Statistical Science academics about how their research crosses over with the discipline of Sustainability.

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5/14/2024

An estimand is a description of the research question a trial seeks to answer, which can help researchers better understand how their study should be designed and analysed. Estimands also provide a clear way to communicate treatment effects to different stakeholders. This episode of the Trial Talk podcast features Principal Research Fellow Brennan Kahan, exploring how triallists could benefit from using estimands. Brennan also discusses his recent paper which aims to demystify new guidance on the use of estimands. Resources: •The estimands framework: a primer on the ICH E9(R1): www.bmj.com/content/384/bmj-2023-076316 •'We must let the research question drive study methods' opinion piece: www.ncbi.nlm.nih.gov/pmc/articles/PMC9908044/ •Estimands in cluster-randomized trials: choosing analyses that answer the right question: www.ncbi.nlm.nih.gov/pmc/articles/PMC9908044/

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4/25/2024

Clinical trial results usually tell us how effective a treatment was on average for the overall group of participants, but a key question for clinicians, patients and policy makers is: which individual patients benefit most from the treatment and which don’t benefit as much? In the latest episode of the Trial Talk podcast, Peter Godolphin and David Fisher discuss a new method for determining how treatment effects differ between subgroups of patients across multiple clinical trials, as well as how other meta-analysis researchers can use it. Resources: • Estimating interactions and subgroup-specific treatment effects in meta-analysis without aggregation bias: A within-trial framework onlinelibrary.wiley.com/doi/10.1002/jrsm.1590 • Cochrane webinar recording training.cochrane.org/resource/estim…-meta-analysis • GitHub page for metafloat package in Stata github.com/UCL/metafloat • WHO REACT Group: IL6 Prospective meta-analysis jamanetwork.com/journals/jama/fullarticle/2781880 • STOPCAP c

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3/11/2024

Seminar by Prof Andrew Gelman (University of Columbia) at UCL on 13 June 2023. Andrew Gelman opened his famous bag of teaching tricks and considered new directions for statistics education. This recording includes Prof Gelman's talk and the subsequent Q&A session.

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6/26/2023

In this masterclass, Prof Ruth King (University of Edinburgh) discusses the issue of making proactive decisions within an academic career. Academics, and statisticians in particular, frequently receive requests to contribute their energy and time to various projects and tasks. It is impossible to say yes to all such requests. But how to decide when to say yes, and how to say no wisely and gracefully?

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5/17/2023

This special meeting focused on causal mediation analysis and their relevance on mental health research. Speakers: Bianca L De Stavola, Professor of Medical Statistics, UCL Great Ormond Street Institute of Child Health Rhian Daniel, Division of Population Medicine, Cardiff University Professor Richard Emsley Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London; NIHR Maudsley Biomedical Research Centre Chair: Jean-Baptiste Pingault, Professor of Development Psychopathology and Genetics, Department of Clinical, Educational and Health Psychology, UCL Recorded on 28th June 2022.

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6/30/2022