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Research Department of Epidemiology and Public Health (G19)

 

FOR ALL QUERIES PLEASE USE THE CONTACT TABS FOUND IN EACH OF THE INDIVIDUAL COURSES/CONFERENCES AND PRODUCTS, PLEASE ONLY CONTACT THE ONLINE STORE DIRECTLY IF YOU ARE EXPERIENCING PAYMENT DIFFICULTIES.

 

Research Department of Epidemiology and Public Health (G19)

Course

G19 UCL Health & Society Summer School: Social Determinants of Health 2024

Description

The UCL Health and Society summer school: Social Determinants of Health will be held from Monday 1st July until Friday 5th July 2024.

The summer school is organised by the Department of Epidemiology and Public Health. It provides an in-depth assessment of the social determinants of health from a global research, policy and governance perspective. Participants will have numerous opportunities for discussion over the one week course.

Professor Sir Michael Marmot will open the summer school with a presentation on the social determinants of health and close the week with a discussion on national and international policy development. 

https://www.ucl.ac.uk/epidemiology-health-care/study/short-courses/ucl-health-and-society-summer-school-social-determinants-health

Attendee CategoryCost   
1) Standard Individual.£1100.00[Read More]
2) Groups of 3 or More.£550.00[Read More]
4) UK Local Government For 1 or 2 People.£600.00[Read More]
5) Reduced Fee.£350.00[Read More]
Radiance

G19 RADIANCE Causal Mediation Analysis

Description

This course is for anyone wishing to learn to perfom mediation analysis and learn about the difficulties in dealing with multiple mediators. Various approaches will be presented, the course will have an emphasis on comparing standard approaches with those from the causal inference framework. The course consists of two lectures each followed by a computer practical exercise (in Stata or R).  

https://radiance.org.uk/courses/causal-mediation-analysis/

Attendee CategoryCost   
PhD Student Rate.£30.00[Read More]
Standard Rate.£60.00[Read More]
Radiance

G19 RADIANCE Machine Learning & Causal Effects

Description

This intermediate course offers a comprehensive understanding of the links between machine learning and traditional methods in causal inference. This course was designed for participants that are familiar with causal inference and the fundamentals of Machine Learning.

 

Key Topics Covered :

Potential Outcomes: Understand the concept of potential outcomes and how machine learning can be applied to estimate casual effcts in observational studies.

Matching and Instrumental Variables: Explore advanced methods such as matching and instrumental variables to address confounding variables and strengthen casual inference models.

Trees and Regularisations: Learn how decision trees and regularisation techniques can be intergrated into casual analysis, providing participants with tools to handle complex datasets and improve model performance.

https://radiance.org.uk/machine-learning-and-causal-effects/

Attendee CategoryCost   
PhD Student Rate.£45.00[Read More]
Standard Rate.£90.00[Read More]

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