New perspectives on studying the effects of treatment on a time to event outcome

Wednesday 2nd October 2019

Date: Wednesday 2nd October, 1.30pm-5.00pm

Venue: The Hardy Room, De Morgan House (London Mathematical Society), 57-58 Russell Square, London WC1B 4HS

Talks from five speakers will cover new methodology for estimating treatment effects using observational data, example applications using patient registry data in the fields of cancer and cystic fibrosis, and discussion of communication of treatment risks and benefits.
This is a joint meeting of the British and Irish Region of the International Biometric Society and the Centre for Statistical Methodology, London School of Hygiene & Tropical Medicine.

Programme

13.30-13.35 Welcome
13.35-14.10 Professor Sarah Darby FRS, University of Oxford
Benefits and risks of cancer treatments: Getting the numbers right
14.10-14.45 Dr Jonathan Bartlett, University of Bath 
Causally valid treatment effects from Cox models 
14.45-15.20 Dr Clemence Leyrat, London School of Hygiene & Tropical Medicine 
Emulating a target trial from observational data in the presence of immortal time bias: Challenges and applications 
15.20-15.40 Break with refreshments 
15.40-16.15 Dr Ruth Keogh, London School of Hygiene & Tropical Medicine 
Using sequential trials to estimate treatment effects in longitudinal observational data, with an application in cystic fibrosis 
16.15-16.50 Dr Shaun Seaman, MRC Biostatistics Unit 
Adjusting for time-varying confounders in survival analysis using structural nested cumulative survival time models
16.50-17.00 Discussion and Close
 
Registration fees: Full or retired members £30; Students £15; Non-members (includes 2019/2020 membership of the International Biometric Society) £100; Non-members (without 2019/2020 IBS membership) £55.
This meeting will be preceded by the AGM of the British and Irish Region of the International Biometric Society, which will begin at 12.30.

Organiser: Ruth Keogh (ruth.keogh@lshtm.ac.uk)

 

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