Causal mediation analysis comprises a set of statistical techniques designed to disentangle the pathways through which an exposure or treatment exerts its effect on an outcome. By partitioning the ...

Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...

This is the second blog in our series ‘Lessons on using Contribution Analysis for impact evaluation’. In our first blog, we introduced Contribution Analysis (CA) as an overarching approach to ...

This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score ...

Many observational studies aim to make causal inferences about effects of interventions or exposures on health outcomes. This course defines causation, describes how emulating a ‘target trial’ can ...

Creating time and space for reflection in undergraduate research methods Developing research skills post-pandemic: creating space for reflection and conversation This involves introducing students to ...