“Statistical Methods for Big Data” Symposium
The London School of Hygiene and Tropical Medicine (LSHTM) Centre for Statistical Methodology is delighted to announce a half-day symposium on “Statistical Methods for Big Data”. The symposium will take place 1400-1900 on Friday 7 July 2017 at LSHTM, Keppel Street, London.
“Big Data” are being promoted as a revolutionary development in the future of health research. They are increasingly available in different fields, from molecular to environmental epidemiology to pharmaco-epidemiology to public policy. Different applications encounter different challenges, for example high-dimensionality of populations, exposures, time points, or locations, or of a combination of these. Distinctions between “made big data” (such as those derived from -omics platforms) and “found big data” (such as those obtained from linkage across electronic health records and administrative databases) may be useful to identify and address the challenges posed by these novel sources of information.
This symposium will aim to discuss these features and the challenges that they pose for statistical methods and future directions of research. Speakers from different methodological perspectives will present examples across a wide spectrum of applications.
Elizabeth Williamson (LSHTM)
Stephen Evans (LSHTM)
Pietro Ferrari (IARC, Lyon)
Joel Schwartz (Harvard T.H. Chan School of Public Health)
Jas Sekhon (University of California, Berkeley)
Followed by a panel discussion and drinks reception.
The symposium is free to attend but registration via Eventbrite is required:
Please contact the LSHTM Centre for Statistical Methodology (email@example.com) if you have any questions relating to this event.