Data science and statistics in sickness and in health

The relationship between statistics and data science is intimate yet awkward. These rigid separations are unhealthy as both camps make huge contributions to our understanding of the world, but often hold each other at arms length. However, their overlapping aims mean that each side can learn much from the other. 

As a group of statisticians, NASH appreciates the power of data science. This year's Annunal Event was designed to facilitate a healthier relationship between data science and statistics. 

Speaker presentations

• Professor Peter Diggle | What is Health Data Science? A biostatistician’s answer

  Professor Peter Diggle | What is Health Data Science? A biostatistician’s answer

• Dr Dionisio Acosta Mena | Data Science in Healthcare and Biomedicine: Principles, Practice, Potential and Pitfalls

  Dr Dionisio Acosta Mena | Data Science in Healthcare and Biomedicine: Principles, Practice, Potential and Pitfalls

• Professor Stijn Vansteelandt | Machine learning for the evaluation of treatment effects

  Professor Stijn Vansteelandt | Machine learning for the evaluation of treatment effects

• Professor Chris Holmes | Bayesian fitting and evaluation of complex models arising in modern health applications

  Professor Chris Holmes | Bayesian fitting and evaluation of complex models arising in modern health applications

• Dr Jessica Barrett | Cardiovascular risk prediction using big data: A statistician’s perspective

  Dr Jessica Barrett | Cardiovascular risk prediction using big data: A statistician’s perspective

Video

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• View all talks from the event on YouTube

This annual event is organised by UCL's Network of Applied Statistians in Health