Seminars this semester
| Feb 9 | Thu | Vanessa Didelez (University of Bristol) | Probability and Statistics Seminar |
| 14:00 | LT-6 | Mendelian Randomisation as an Instrumental Variable Approach to Causal Inference | |
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Abstract: In epidemiology we often want to estimate the causal effect of an exposure on a health outcome based on observational data, where the possibility of unobserved confounding cannot be excluded. To deal with this problem, it has recently become popular to use a technique called Mendelian randomisation, where it is exploited that the exposure is associated with a genetic variant, which can be assumed to be unaffected by the same confounding factors and which makes it suitable as a so-called instrumental variable. In my talk, this technique is illustrated with various examples, in particular with the effect of alcohol consumption on blood pressure / hypertension. Different methods of using an instrumental variable to estimate the causal effect on a binary outcome are compared based on their theoretical properties as well as by simulation. Finally, it will be discussed if a Bayesian approach is useful in the context of Mendelian randomisation. References:Didelez and Sheehan (2007). Mendelian randomisation as an instrumental variable approach to causal inference, Statistical Methods in Medical Research, 16, 309-330. Didelez, Meng and Sheehan (2010). Assumptions of IV methods for observational epidemiology, Statistical Science, 25, 22-40. Palmer, Sterne, Harbord, Lawlor, Sheehan, Meng, Granell, Davey Smith, Didelez (2011). Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses, The American Journal of Epidemiology, 173 (12). Jones, Thompson, Didelez and Sheehan (2012). On the choice of parameterisation and priors for the Bayesian analyses of Mendelian randomisation studies. To appear in Statistics in Medicine. |
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| Feb 16 | Thu | Emma Jones (University of Sheffield) | Probability and Statistics Seminar |
| 14:00 | LT-6 | ||
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| Feb 16 | Thu | Seungjin Han (University of Sheffield) | Probability and Statistics Seminar |
| 14:30 | LT-6 | ||
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| Feb 23 | Thu | Jim Griffin (University of Kent) | Probability and Statistics Seminar |
| 14:00 | LT-6 | ||
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| Feb 23 | Thu | Keith Still (Bucks New University) | RSS Seminar Series |
| 16:30 | Hicks LT2 | Crowd Modelling to Assess Risks in Crowded Spaces | |
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Abstract: In this lecture Prof. Still will outline the background to modelling crowd flow, fill and failure using a wide range of examples of crowded spaces and how 'simple' maths could have been used to prevent mass fatalities. Drawing on over 20 years of experience in consulting around the world, his talk is illustrated with examples of modelling tools and techniques, from some of the world's largest, most dangerous and challenging, crowd modelling projects. He also illustrates how shockwaves form and how they can be predicted, and prevented, in crowded spaces. |
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| Mar 1 | Thu | Chris Sherlock (University of Lancaster) | Probability and Statistics Seminar |
| 14:00 | LT-6 | ||
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| Mar 8 | Thu | Ari Laptev (Imperial) | SoMaS Colloquium |
| 17:30 | LT7 | Spectral Inequalities for Partial Differential Equations and their Applications | |
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Abstract: We shall discuss properties of the discrete and continuous spectrum of different classes of self-adjoint differential operators including Schrödinger operators. |
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| Mar 15 | Thu | Eleanor Stillman (University of Sheffield) | Probability and Statistics Seminar |
| 14:00 | LT-6 | ||
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| Mar 22 | Thu | Ronnie Loeffen (University of Manchester) | Probability and Statistics Seminar |
| 14:00 | LT-6 | ||
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| May 3 | Thu | Simon Wood (University of Bath) | Probability and Statistics Seminar |
| 14:00 | LT-6 | ||
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| May 17 | Thu | Lee Fawcett (University of Newcastle) | Probability and Statistics Seminar |
| 14:00 | LT-6 | ||
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