Malawi short course

In February, Dr Halima Twabi , SSACAB alumni, co-facilitated a Causal Inference for Observational Health Studies workshop alongside Prof Samuel Manda, SSACAB Co-PI. The workshop offered an in-depth examination of both foundational and applied aspects of causal inference, covering topics such as confounding, selection bias, Directed Acyclic Graphs (DAGs), identification of causal effects, Difference-in-Differences, and best practices for estimating causal effects in health research.

Notably, Evaristar Kudowa , a SSACAB fellow, participated as a learner while also supporting the facilitation team by delivering an introductory session on R, enhancing the practical learning experience. Participants were encouraged to apply causal reasoning to their research questions, fostering a strong connection between methodological theory and practical applications. The session was highly interactive, featuring thoughtful discussions, active engagement, and insightful questions, with feedback highlighting the clarity, relevance, and applicability of the key causal inference concepts presented.

The Malawi team extends its sincere gratitude to the SSACAB Programme for their support in facilitating this important capacity-building initiative in causal methods for health research and looks forward to future opportunities to advance rigorous causal inference practices in public health research.