Real World Epidemiology: Oxford Summer School
Monday, 25 June 2018 to Friday, 29 June 2018
We explore the existing sources of real world data, discuss common types of study and designs for its use, and look in-depth into the issues and solutions linked to big health data usage.
Course registration is now open. Book your place here.
Pharmacists, clinicians, academics (including statisticians, epidemiologists, and related MSc/PhD students), and industry (pharmacy or device) and regulatory staff with an interest in the use of routinely collected data for research.
- DATA DISCOVERY AND CHARACTERIZATION: Gain an understanding of the existing sources of routinely collected data for epidemiological research, and how to characterise whether they are fit for purpose to answer your research question/s
- EPIDEMIOLOGICAL STUDY DESIGN/S: Be able to discuss common and advanced study designs and their implementation using real world data.
- PHARMACO- AND DEVICE EPIDEMIOLOGY: Be aware of the applications of real world data in both pharmaco and device epidemiology, including drug/device utilisation, comparative effectiveness, and post-marketing safety research.
- PREDICTION MODELLING: Learn basic concepts on the design and evaluation of prognostic/prediction models developed using real world data.
- “REAL WORLD” SOLUTIONS: Understand relevant issues and learn potential solutions applied to the use of ‘real world’ epidemiology: a) data management, information governance, b) missing information and multiple imputation, and c) interaction with industry and regulators
- BIG DATA METHODS: Be familiar with the basics of big data methods, including a) machine learning, b) principles of common data models for multi-database studies, and c) digital epidemiology/patient data collection.
Monday 25 June to Friday 29 June 2018
The course will be held at Lady Margaret Hall, a University of Oxford college.
You can view a draft copy of the programme here.