BIOENGINEER

Income Tied to Cervical Cancer Survival in SEER Causal Analysis

A SEER analysis of 3,810 cervical cancer patients using marginal structural models and TMLE links low neighborhood income to ...
BIOENGINEER

From Association to Cause: Review Maps Causal Inference Methods for Alzheimer’s Molecular Data

A new review surveys causal-inference methods applied to Alzheimer's molecular data, finding that many observational ...
Medical Xpress

Advancing causal inference in clinical neuroscience research

In a perspective published in Psychoradiology, researchers from Shanghai Jiao Tong University confronted causal inference in clinical neuroscience research and advocate for more clarity and ...

Considering a Methodology for Tracing Causal Chains through Historical Counterfactuals

Jack S. Levy's "Counterfactuals, Causal Inference, and Historical Analysis" (2015) is a methodological research outcome that examines how counterfactuals should be manipulated as a tool to support ...
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 ...

The Precision of Job Descriptions Changes Retention Rates: The Cost of 'Information Voids' Measured by Causal Inference

One in three talented new hires leaves within two years of joining—the primary reason is not salary or benefits, but a single ...
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 ...