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.
Skip to main content

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.

Real world epidemiology oxford summer school

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.

 

 

Follow us on Twitter with hashtag #oxrwdsummerschool

With the support of

Synapse

EMIF-logo

CSM full logo.png

 

 

 

 

Forthcoming events

Trials Expertise Session: Informed Consent

Monday, 16 December 2019, 10am to 11am @ Botnar Research Centre, Room G54

OCTRU New Starter Training

Tuesday, 07 January 2020, 10am to 11.30am @ Botnar Research Centre, Room G51

OCTRU Trials Expertise Session: Trial Recruitment

Wednesday, 15 January 2020, 10am to 11am @ Botnar Research Centre, Room G54

RSS Oxford talk: Judging a book by its cover: How much of REF 'research quality' is really 'journal reputation'?

Friday, 17 January 2020, 3.30pm to 5pm @ Large Lecture Theatre, Department of Statistics, 24-29 St Giles', Oxford OX1 3LB

OCTRU Training Bite (STATS): Basic Statistics for Randomised Controlled Trials

Tuesday, 21 January 2020, 10am to 11am @ Botnar Research Centre, Room G54

OCTRU Extended Training Bite (QA): TMF Training

Wednesday, 29 January 2020, 10am to 12pm @ Botnar Research Centre, Room G54