Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Real World Epidemiology: Oxford Summer School

Monday, 25 June 2018 to Friday, 29 June 2018

Lady Margaret Hall, Oxford

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.

25 - 29 JUNE 2018
OXFORD

Venue: LMH college

Programme

Book your place here.

AUDIENCE

Pharmacists, clinicians, academics (including statisticians, epidemiologists, and related MSc/PhD students); Industry (pharmacy or device) or Regulatory staff with an interest in the use of routinely collected data for research.

LEARNING GOALS

  1. DATA DISCOVERY AND CHARACTERIZATION: Gain an understanding of the existing sources of routinely collected data for epidemiological research, and on how to characterize whether they are fit for purpose to answer your research question/s
  2. EPIDEMIOLOGICAL STUDY DESIGN/S: Be able to discuss common and advanced study designs and their implementation using real world data.
  3. 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.
  4. PREDICTION MODELLING: Learn basic concepts on the design and evaluation of prognostic/prediction models developed using real world data.
  5. “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
  6. 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.

 

 

COURSE DIRECTORS

COURSE ADMINISTRATOR

Follow us on Twitter with hashtag #oxrwdsummerschool

With the support of

Synapse

EMIF-logo

CSM full logo.png

 

 

 

 

CSM HOME      ABOUT US      WHAT WE DO      OUR TEAM      NEWS      EVENTS

Forthcoming events

CANCELLED: UK EQUATOR Centre Publication School: July 2020

Thursday, 16 July 2020 to Friday, 17 July 2020, 9am - 5pm @ Botnar Research Centre, University of Oxford

The secrets of success in writing, publishing, and disseminating research articles

OCTRU New Starter Training *ONLINE*

Tuesday, 04 August 2020, 10am to 11.30am @ Botnar Research Centre, Room G51

Please note this session will be run online over Microsoft Teams - further details will be sent directly to attendees.

OCTRU New Starter Training

Tuesday, 01 September 2020, 10am to 11.30am @ Botnar Research Centre, Room G51

OCTRU Trials Expertise Session: Amendments

Thursday, 10 September 2020, 10am to 11am @ Botnar Research Centre, Room G54

OCTRU Extended Training Bite (STATS): Randomisation and Blinding

Wednesday, 16 September 2020, 10am to 11.30am @ Botnar Research Centre, Room G54

POSTPONED - OCTRU Workshop (QA): Serious Breaches

Thursday, 17 September 2020, 9.30am to 1pm @ Botnar Research Centre, Room G54/38

Please note this session has been postponed until further notice.