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 firstname.lastname@example.org.
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 email@example.com.
Reproducible Research in Health Data Science Workshop, Friday, June 16, 2023
OxStat will be hosting a half-day workshop in the Big Data Institute, Seminar Room LG0 on Friday 16 June from 9.30 - 12.30.
- Shing Chan Chang & Hang Yuan
About the workshop
Creating reproducible code can be a daunting task and it is often unclear where to start. In this workshop, we aim to demonstrate Github and how to make your first open source contribution. We will discuss common problems that you may face when getting started. The course will utilize Python software throughout and participants will need to bring their own laptops in order to fully engage with the coding exercises.
Who is it for?
- Anyone working in data science or a closely related field who is interested in making their code more reproducible.
- Anyone with basic experience of coding in a programming language (e.g. R, Stata, Python)
You can register for the workshop using the link below. As this is intended to be an interactive workshop there will be a maximum capacity of 30
find out more
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
DPhil Student, Clinical Trials Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health
Data Scientist, Nuffield Department of Population Health
Medical Statistician, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
Medical Statistician, Clinical Trials Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health
Ushma GalalSenior 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
DPhil Student, Nuffield Department of Population Health