This course is available on the MSc in Applied Social Data Science, MSc in Behavioural Science, MSc in Human Geography and Urban Studies (Research), MSc in Innovation Policy, MSc in International ...
The Dornsife School of Public Health's Urban Health Collaborative and Research Office present this training that provides an introduction to DAG. DAGs are diagrams used to represent causal questions.
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 ...
When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?
Many researchers use unit fixed effects regression models as their default methods for causal inference with longitudinal data. We show that the ability of these models to adjust for unobserved ...
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
Philosophy of Science, Vol. 71, No. 5, Proceedings of the 2002 Biennial Meeting of The Philosophy of Science AssociationPart II: Symposia PapersEdited by Sandra D. Mitchell (December 2004), pp.
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 ...
This course is available on the MPhil/PhD in Economic Geography, MPhil/PhD in Environmental Economics, MPhil/PhD in International Relations, MPhil/PhD in Regional and Urban Planning Studies, MRes in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback