Southampton Summer Statistics School 2026: An Introduction to Modelling Causal Inference

Date:

30/07/2026

Organised by:

University of Southampton

Presenter:

Dr Yin Wang

Level:

Intermediate (some prior knowledge)

Contact:

James Hall
J.E.Hall@soton.ac.uk

video conference logo

Venue: Online

Description:

An Introduction to Modelling Causal Inference

Session 6/6 of a free online three-day programme of statistics training running from 28–30 July 2026.   Running 12-2pm on 30/7/2026

Hosted by Southampton Education School, the Southampton Summer Statistics School is designed for professionals, academics and doctoral/postgraduate researchers working with numeric data, across disciplines. Participants can attend one, some or all sessions, with each session combining conceptual introduction with practical, hands-on activity.

The programme includes sessions on Structural Equation Modelling, Assessment data, Social Network Analysis, Multilevel Modelling, Machine Learning, and Causal Inference. 

The Summer School is intended as accessible CPD for those looking to strengthen or refresh their statistical analysis skills in a supportive online format. Registration is free via Eventbrite: https://www.eventbrite.com/e/southampton-summer-statistics-school-2026-tickets-1990997448966

Cost:

free

Website and registration:

Register for this course

Region:

International

Keywords:

Frameworks for Research and Research Designs, Explanatory Research and Causal analysis, Quantitative Data Handling and Data Analysis, Quantitative Approaches (other), causal inference


Related publications and presentations from our eprints archive:

Frameworks for Research and Research Designs
Explanatory Research and Causal analysis
Quantitative Data Handling and Data Analysis
Quantitative Approaches (other)

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