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All those with an interest in statistics are invited to join the Oxford local chapter of the Royal Statistical Society for an afternoon talk by Ruth Keogh

Royal Statistical Society - oxford local chapter

The Oxford local chapter of the Royal Statistical Society, hosted by the University of Oxford, brings together anyone with an interest in statistics in Oxfordshire and the surrounding areas. We organise an annual programme of free events and lectures on statistical topics. 

Academics and non-academics are all welcome to join this local RSS chapter. For advance notice of events, join our mailing list by emailing rss_oxford-owner@maillist.ox.ac.uk. We are always interested in new ideas for events and lectures, so do get in touch!

Speaker: Ruth Keogh

Ruth Keogh is an Associate Professor in the Department of Medical Statistics at the London School of Hygiene & Tropical Medicine (LSHTM). She is currently funded by a MRC Methodology Fellowship and is focusing on methods for dynamic prediction of survival in complex observational data using landmarking, and extensions of landmarking to address other questions in survival analysis. She is especially interested in applications in cystic fibrosis.

Ruth’s other research interests include case-control study design and analysis, methods for handling missing data and measurement error, and causal inference methodology.

Talk abstract

Dynamic prediction of survival using landmarking in large healthcare databases, with an application in cystic fibrosis

In 'dynamic' prediction of survival we make updated predictions of individuals' survival over time as new information becomes available about their health status via longitudinal measurements. Landmarking is an attractive and flexible method for dynamic prediction. I will give an introduction to landmarking and a practical overview of how to use this approach, including some recent developments.

Large observational patient databases, which provide longitudinal data on clinical measurements, present opportunities to develop 'personalised' dynamic predictions of survival. I will present an example application of landmarking for dynamic prediction of survival in people with cystic fibrosis, using data from the US Cystic Fibrosis Foundation Patient Registry. This will include discussion of some of the challenges faced in making dynamic predictions using routinely collected data and how they can be addressed in the landmarking framework. I will also show some comparisons between landmarking and the alternative approach of joint modelling, and hopefully convince you that landmarking has a number of advantages.

Refreshments will be served after the talk

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Forthcoming events

RSS Oxford talk on Intergenerational fairness of pensions: Statistical analysis, assumptions and actuarial models

Tuesday, 19 November 2019, 4.30pm to 6pm @ Large Lecture Theatre, Department of Statistics, 24-29 St Giles', Oxford OX1 3LB

OCTRU New Starter Training

Tuesday, 03 December 2019, 10am to 11.30am @ Botnar Research Centre, Room G51

Trials Expertise Session: Informed Consent

Tuesday, 03 December 2019, 10am to 11am @ Botnar Research Centre, Room G54

UK EQUATOR Centre Publication School: March 2020

Thursday, 12 March 2020 to Friday, 13 March 2020, 9am - 5pm @ Botnar Research Centre, University of Oxford

The secrets of success in writing, publishing, and disseminating research articles

Bristol and Oxford Surgical Trials Intervention Course (BOSTiC) 2020

Wednesday, 08 July 2020 to Friday, 10 July 2020

The Oxford and Bristol Surgical Trials Units will be holding a 3 day surgical research training event on surgical trials for foundation, core and specialist trainees of all surgical specialities.

UK EQUATOR Centre Publication School: July 2020

Thursday, 16 July 2020 to Friday, 17 July 2020, 9am - 5pm @ Botnar Research Centre, University of Oxford

The secrets of success in writing, publishing, and disseminating research articles