PSI Webinar: Avoiding Pitfalls in Supervised/Unsupervised Learning

  • Dates: 29 – 29 Nov, 2018
Time: 14:00 - 15:30 UK Time
Presenters: Ilya Lipkovich (IQVIA), Alexander Schacht (Lilly) and Andy Nicholls (GSK)

As the availability of big data increases and statisticians assist with predicting outcomes or understanding patterns in an ever-wider variety of scenarios then supervised and unsupervised learning methods become increasing called upon. Such machine learning algorithms offer the opportunity to understand potential predictors or clusters amongst large datasets, but are also subject to the risks of overfitting or over-interpretation. This Webinar seeks to introduce ideas and share experiences in this field.

The talks will introduce several supervised and unsupervised learning methods and cover data-driven subgroup identification in clinical trials, and case studies of implementation clustering algorithms.

Click here to view the flyer. 

Click here to register.

 Registration
 PSI Member  Free
 Non-member  £20 (plus VAT) 

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