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Statistical Methods for Risk Prediction & Prognostic Models

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Event Information

Keele Hall at night
Dates of Event
14th November 2017 – 16th November 2017
Last Booking Date for this Event
2nd November 2017

A three day training course on Statistical Methods for Risk Prediction and Prognostic Models

AIMS: Patients and their care providers often want to know the risk of developing an (adverse) health outcome over time. Estimates of future risk ('prognosis') allow patients and their families to put a clinical diagnosis into context, and help care providers to make clinical decisions and devise treatment strategies. For this purpose there is a growing interest in risk prediction and prognostic models. This 3-day course provides a thorough foundation of the statistical methods most commonly needed to develop and validate prognostic and prediction models in clinical research. A mixture of lectures and computer practical sessions in Stata are used to ensure participants appreciate the underlying statistical concepts and can apply the methods learned to real datasets containing either binary or time-to-event outcomes.

Faculty members are:

Prof Richard Riley, Joie Ensor, Lucy Teece, Kym Snell (Keele University)
Prof Gary Collins (University of Oxford)
Dr Laura Bonnett (University of Liverpool)