Diginomica

How causal analysis and AI intersect - methods of causal inference

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 ...
CU Boulder News & Events

Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

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 ...
Phys.org

Statistical tools for valid causal inference with fewer assumptions

In many settings, data collection makes causal inference difficult without making overly optimistic or idealistic assumptions. In a new article published in the Journal of the American Statistical ...
ascopubs.org

Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized?

In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...

Why Medical Decisions Cannot Be Made When Data Is 'Not Significant'—Causal Inference of Low-Dose Radiation Exposure and Carcinogenesis That Statistics Cannot Answer

Medical information is judged using only two labels: 'significant' and 'not significant'.However, the actual causal relationship is not hidden there. Beyond statistical significance, there lies a ...
umass

Do observational causal inference methods really work?

Over the past several decades, multiple statistical methods have been developed to infer the existence and magnitude of causal effects by analyzing observational data. These methods have been widely ...
Harvard Medical School

2026 CAUSALab Summer Courses on Causal Inference

Thank you for joining the 2026 Summer Courses! CAUSALab’s 2026 Summer Courses on Causal Inference ran June 8-18, 2026. Information regarding the 2027 courses will be available Fall 2026. CAUSALab’s ...

Afterword to the Afterword (4): Questioning Causal Inference — 'Economics Swallowed by Data: The Fading Faith in Theory' (Nippon Hyoron Sha, 2023)

When the project for 'The Walls of Economics' was underway, I was contacted by an old acquaintance, an editor at another publishing house. This person had shifted paths from a career in research and ...
CU Boulder News & Events

Causal Inference and COVID: Contrasting Methods for Evaluating Pandemic Impacts Using State Assessments

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 ...
JSTOR Daily

Causality In Crisis?: Statistical Methods & Search for Causal Knowledge in Social Sciences

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://doi.org/10.2307/jj.21995551.4 https ...