Only a few places left
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A symposium organized by NASH, the UCL Network of Applied Statisticians in Health
Data Science and Statistics in Sickness and in Health
6 June 2019, 1:30 - 6pm
UCL, Roberts 106 Lecture Theatre, Torrington Place<https://www.ucl.ac.uk/maps/roberts-106>
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To register visit:
https://www.ucl.ac.uk/population-health-sciences/research/network-applied-statisticians-health/annual-event
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Speakers:
Dionisio Acosta Mena (UCL)
Data Science in Healthcare and Biomedicine: Principles, Practice, Potential and Pitfalls
Stijn Vansteelandt (Ghent Un and LSHTM)
Machine learning for the evaluation of treatment effects
Jessica Barrett (MRC BSU Cambridge)
Cardiovascular risk prediction using big data: A statistician's perspective
Chris Holmes (Oxford Un)
Bayesian fitting and evaluation of complex models arising in modern health applications
Peter Diggle (Lancaster Un)
What is Health Data Science? A biostatistician's answer.
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The relationship between statistics and data science is intimate yet awkward. On one side is statistical science: mostly focused on parametric modelling and concerns about inference, leading to some of the abuses we see in much applied research. On the other side is data science: putting computers to work on large datasets to mindlessly identify patterns or to obtain unprincipled predictions. These rigid separations are unhealthy; both camps make huge contributions to our understanding of the world, but often hold each other at arm's length. However, their overlapping aims mean that each side can learn much from the other.
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This symposium is designed to help educate us and to produce interactions to facilitate a happier and healthier relationship between data science and statistics.
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To become a member of NASH visit:
https://www.ucl.ac.uk/population-health-sciences/research/network-applied-statisticians-health
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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