Research lectures, seminars and events
The events listed in this area are research seminars, workshops and lectures hosted by Durham University departments and research institutes. If you are not a member of the University, but wish to enquire about attending one of the events please contact the organiser or host department.
|October 2017||December 2017|
Events for 13 November 2017
Research into joint modelling methods of a longitudinal and time-to-event outcome has grown substantially over recent years. Previous research has predominantly concentrated on joint models involving a single longitudinal outcome. In clinical practice, the data collected will be more complex, featuring multiple longitudinal outcomes and/or multiple, recurrent or competing event times. Harnessing all available measurements in a single model is advantageous and should lead to improved and more specific model predictions.
Notwithstanding the increased flexibility and better predictive capabilities, the extension of the classical univariate joint modelling framework to a multivariate setting introduces a number of technical and computational challenges. These include the high-dimensional numerical integrations required, modelling of multivariate unbalanced data, and proper estimation of standard errors. Consequently, software capable of fitting joint models to multivariate data is lacking. Building on recent methodological developments, we extend the classical joint model to multiple continuous longitudinal outcomes, and describe how to fit it using a Monte Carlo Expectation-Maximization algorithm with antithetic simulation for variance reduction. The development of a new R package will be discussed. An application to a recent clinical trial dataset will be presented.
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I will give an introduction to the arithmetic of plane curves of degrees 2 and 3, and then compare some conjectures and experiments in the degree 3 case.
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Astrophysics has already told us a great deal about dark matter, including how much there is, and where it is located. Astrophysics also has the potential to constrain the nature of the dark matter particle.
In this talk I will discuss historical and current efforts to do exactly this, with a focus of numerical simulations of galaxy formation and gravitational lensing.
Contact Daniel Martin
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