Professor Erica Moodie - Assumptions in Causal Inference
Speaker: Erica Moodie, McGill University
Title: Assumptions in causal inference
Time: October 13 from 14.00 - 15.00, followed by coffee and cake
Location: University of Copenhagen: CSS 2.0.12, Øster Farimagsgade 5, 1353 København K
Registration: All are welcome, no registration needed.
This presentation is part of the International Seminar Series in Causal Inference. The aim of the seminar series is to bring distinguished causal inference speakers to Copenhagen and to foster new connections among local causal inference researchers across different disciplines and institutions. The seminar is therefore accompanied with two additional opportunities for connections:
- An informal opportunity to stay for coffee and cake after the presentation, where you can chat with the speaker and other participants. We encourage all to participate, no registration needed.
- A possibility to book a one-on-one meeting with Erica Moodie on October 15. If you are interested in this, please contact Erin Gabriel (erin.gabriel@sund.ku.dk).
To support interaction and community building, we encourage all who have the option to participate in person. If this is not possible for you, you contact Michael Sachs (michael.sachs@sund.ku.dk) to obtain a link for virtual participation.
The seminar is organized by the Pioneer Centre for SMARTBiomed and supported by the Danish Data Science Academy.
Abstract: A key component of causal inference is the formalization of assumptions that are made by analysts in order to draw causal conclusions. Many of these assumptions are now considered standard, such as no unmeasured confounding (NUC), positivity, and in some cases, correct specification of some modelling components. In this seminar, I will discuss some straightforward approaches that can be used to detect violations of these assumptions, and illustrate these with simulated and real data.