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Statistical Methods for Big Data - Symposium

The London School of Hygiene & Tropical Medicine

Friday, 7 July 2017 from 14:00 to 19:00 (BST)

Statistical Methods for Big Data - Symposium

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Type End Quantity
Standard Ticket Ended Free  

Event Details

Centre for Statistical Methodology: “Statistical Methods for Big Data” Symposium

“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.

Confirmed speakers:

  • 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.

Do you have questions about Statistical Methods for Big Data - Symposium? Contact The London School of Hygiene & Tropical Medicine

When & Where


John Snow Lecture Theatre B
London School of Hygiene & Tropical Medicine
Keppel Street
WC1E 7HT London
United Kingdom

Friday, 7 July 2017 from 14:00 to 19:00 (BST)


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