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 publicize 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.
Forthcoming events
The estimands framework: a primer, Wednesday, November 6, 2024
OxStat will be hosting a half-day workshop in Lower Ground Seminar Rooms, Big Data Institute, Old Road Campus, Roosevelt Drive, Headington on Wednesday 6 November from 12.00 - 16.00.
Workshop leaders
- Brennan Kahan and James Carpenter, MRC Clinical Trials Unit, University College London
About the workshop
Estimands are now widely used to guide the design, analysis, and interpretation of randomised studies. In this workshop we will provide a comprehensive overview of the estimands framework, including:
- the motivation for using estimands;
- tips on choosing an estimand and statistical analysis approach;
- strategies for discussing estimands with clinicians and/or public partners;
- how estimands can be included in protocols and SAPs.
The workshop will include interactive practical sessions.
Who is it for
- In-person event open to staff and post-graduate students in the Medical Sciences Division, University of Oxford.
- Researchers with statistical training, and an interest in learning about estimands; no prior knowledge of estimands is assumed.
- Although most of the examples will pertain to randomised trials, most of the concepts will apply to both randomised and non-randomised studies.
Registration
This event is free however places are limited and registration is required. You can register for the workshop using the link below.
https://app.onlinesurveys.jisc.ac.uk/s/oxford/oxstat-workshop-the-estimands-framework-a-primer
find out more
OXSTAT CO-ChairS
Associate Professor, Clinical Trials Service and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health |
Director National Perinatal Epidemiology Unit (NPEU) Clinical Trials Unit, Nuffield Department of Population Health |
OXSTAT Committee Members
Data Scientist, Nuffield Department of Population Health | |
Medical Statistician, Clinical Trials Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health | |
Ushma Galal 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 | |
Ruth Coleman Head of Statistics and Modelling Group, Diabetes Trial Unit, Radcliffe Department of Medicine | |
Medical Statistician, OCTRU, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences |