RADIANCE - Estimating Causal Effects
Date:
07/05/2024 - 09/05/2024
Organised by:
University College London
Presenter:
Professor Bianca De Stavola
Level:
Advanced (specialised prior knowledge)
Contact:
Olivia Evans - olivia.evans@ucl.ac.uk
Professor Bianca De Stavola - b.destavola@ucl.ac.uk
Venue: Online
Description:
Online sessions: 7 – 9 May 2024, 10:00am – 13:00pm
Course description
This course will introduce participants to the two main approaches to estimating causal effects from observational data: those based on the assumption of no unmeasured confounding and those that exploit the availability of instrumental variables. The course will focus on settings where the exposure/intervention is time fixed but will also give an introduction to the more general case when exposures/treatments are time-varying (and hence may be affected by time varying confounding).
Learning objectives
To develop an understanding of the assumptions most commonly invoked in causal inference and some practical expertise in applying estimation methods that rely on them.
Course Structure
There will be 5 on-line live lectures sessions and 3 on-line live discussion/computer practical sessions.
Timetable
Date | Time |
7-9/05/2024 | 10:00 to 13:00 |
Pre-requisite
It I advisable that, before attending this course, participants attend both the module called “Addressing Causal Questions using real work data: an Introduction” and the short course called “Introduction to Causal Diagrams”, or equivalently be familiar with the first 2 parts of the book by Hernán and Robins “ Causal Inference: What If.” which is available here:
https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1268/2022/11/hernanrobins_WhatIf_13nov22.pdf
Cost:
£45 for PhD Students and £90 for others
Website and registration:
Region:
International
Keywords:
Frameworks for Research and Research Designs
Related publications and presentations:
Frameworks for Research and Research Designs