Routine data
Routine data
This Section is intended to address the issues encountered by statisticians working on fairly complex, routine datasets. We aim to provide a networking group for statistical researchers involved in the analysis of either established databases or routine data that has not been pre-processed. Our Routine Data section plans to run events and provide resources for statisticians to share experience on issues such as routine data access and linkage, coding, and analysis.
The Group has put together a collection of useful resources, which you can find here.
Section leaders
Jianhua Wu
Queen Mary University of London
Kathryn Richardson
University of East Anglia
Jessica Harris
University of Bristol
Working group members
Dan Burns
University of Southampton
Barbara Torlinska
Birmingham University
Sian Evans
Office for Health Improvement and Disparities
Rhiannon Edge
University of Lancaster
Anastasia Ushakova
University of Lancaster
Tony Stone
University of Sheffield
Frances Biggin
University of Lancaster
Emma Drummond
University of Lancaster
Alex Garner
University of Lancaster
Rachael Mountain
University of Lancaster
Rachel Tribbick
University of Lancaster
Dan Lewer
UCL
Maciej Juszczak
University Hospitals Birmingham
Kirsty Haunch
University of Leeds
Matthias Pierce
University of Manchester
Saiam Ahmed
UCL
Corine Driessens
University of Southampton
Sonia Gran
University of Nottingham
Lucy Teece
University of Leicester
Giulio Scola
KCL
Jo Knight
University of Lancaster
Thomas Hamborg
Barts and the London Pragmatic Clinical Trials Unit
Victoria Strauss
University of Oxford
Rebecca Simpson
University of Sheffield
Tim Jones
University of Bristol
Saleema Rex
University of Sheffield
Tracey Farragher
University of Manchester
Ge Yu
KCL
Gabriela Czanner,
Liverpool John Moores University
Jacqueline Birks
University of Oxford
