Oxford Medical Statistics Network (OxStat)
Founded in 2017 by Louise Linsell and Derrick Bennett
Supported by the Nuffield Department of Population Health Training Committee
The Oxford Medical Statistics Network (OxStat) is open to staff and postgraduate students with an interest in medical statistics, working or studying within the Medical Sciences Division. The aim of the group is to facilitate networking, communication and collaboration, and to provide informal support and foster good practice.
The network circulates a newsletter and holds free events every term, such as talks and workshops from internal and external speakers. Anyone within the division with an interest in medical statistics (epidemiologists, medical statisticians, health economists, data scientists, DPhil students) is welcome to join.
If you have any relevant news or upcoming events to publicise please send them to the OXStat mailing list: oxstat@npeu.ox.ac.uk.
What are the network aims?
- To provide an opportunity for networking with fellow medical statisticians in Oxford
- To provide a hub of informal support and shared learning for statisticians work in health related research
- To encourage collaborative work in methodology and statistics
- To hold and promote local statistical events, teaching and career development opportunities
What is outside the remit of the network?
- The OxStat network does not provide statistical consultancy, guidance on study design or support for grant applications. Support for grant applications is provided by Research Design Service South Central; Oxford University Statistical Consulting provides consultancy services to both internal departments and external businesses and organizations.
To find out more information on OxStat or to sign up to the mailing list, please email oxstat@npeu.ox.ac.uk.
Save the date 15 April at 1 pm webinar on Missing data and Estimands
Suzie Cro (https://profiles.imperial.ac.uk/s.cro) will give a webinar for OCTRU, and you are warmly invited.
Title: Estimation methods for treatment policy strategies in clinical trials with missing data: Introducing retrieved dropout reference-base centred multiple imputation
Abstract: A treatment policy strategy if often used to handle intercurrent events such as treatment withdrawal in clinical trials. Such an approach seeks to estimate the effect of a treatment, regardless of whether patients withdraw from the treatment schedule early. This requires the collection of outcome data following treatment withdrawal, however data is often missing after treatment withdrawal complicating the analysis.
In this setting, retrieved dropout multiple imputation has been proposed as a useful method for estimation. This approach imputes off-treatment data based only on observed off-treatment data. But this may be impractical with limited observed data post-treatment withdrawal. Alternatively, reference-based multiple imputation can be used which assumes treatment withdrawals behave like those observed in a specified reference group. But this makes strong assumptions and disregards observed off-treatment outcomes.
This presentation will review these two different methods of imputation followed by an introduction to a novel approach, referred to as retrieved dropout reference-base centred multiple imputation, that draws its influences from the two aforementioned methods. The expected bias and root mean square error (RMSE) for this new method will be analytically explored, followed by application to an anti-depression trial.
Venue: Nuffield Orthopaedic Centre, Windmill Road, Oxford OX3 7QU
Room ND08 / Hybrid via Teams
Link to join the session online: https://teams.microsoft.com/meet/39849641209505?p=y2MDEjtwbfCI0V2A4j
find out more
OXSTAT CO-ChairS
 | Professor of Medical Statistics and Epidemiology, Clinical Trials Service and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health |
 | Senior Statistician, National Perinatal Epidemiology Unit (NPEU) Clinical Trials Unit, Nuffield Department of Women's and Reproductive Health |
OXSTAT Committee Members
 | Medical Statistician, Clinical Trials Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health |
| Senior Trial Statistician, Primary Care Trials Unit, Nuffield Department of Primary Care Health Sciences | |
 | Deputy Director Academic/Lead Trial Statistician, Primary Care Trials Unit, Nuffield Department of Primary Care Health Sciences |
 | Head of Statistics and Modelling Group, Diabetes Trial Unit, Radcliffe Department of Medicine |
 | Medical Statistician, OCTRU, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences |
 | Director National Perinatal Epidemiology Unit (NPEU) Clinical Trials Unit, Nuffield Department of Women's and Reproductive Health |
 | Senior Medical Statistician, Nuffield Department of Population Health |
 | Jyoti Sehjal DPhil Student, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences |
 | Medical Statistician, OCTRU, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences |
 | Xiaoxiao Ling Research in Health Economics, Nuffield Department of Primary Health Care Sciences, |