On the causal front, economists and other social scientists have been obsessed for many years on trying to assess causal effects of programs and policies. It is not easy to isolate causal effects ...

We developed a ToC to assist with both the development and evaluation of MHCPs 15 in the five PRIME countries, including Nepal. 13 ToC is a theory-driven planning and evaluation approach that ...

Second, a comparative graph layout technique and specialized visual encodings are devised for the quick comparison of multiple causal graphs. In our visual analysis approach, analysts start by ...

The Global Causal AI Market size was valued USD 26.0 million in 2023 and is further anticipated to reach USD 599.3 million by 2032 according to Dimension Market Research. The market is anticipated ...

Correlation Is Not Causation, Wink, Is Not Good Enough for Observational Research Robert A. Harrington, MD; Robert W. Yeh, MD, MSC Disclosures April 17, 2024 0 ...

Americans have been shown to attribute greater intentionality to immoral than to amoral actions in cases of causal deviance, that is, cases where a goal is satisfied in a way that deviates from ...

Call for Clarity: Advancing Causal Inference in Clinical Neuroscience Research West China Hospital of Sichuan University A Perspective published in Volume 3 of the journal Psychoradiology, researchers ...

The growing importance of comparative effectiveness research (CER) has reignited researchers' interest in causal inference methods. Causal inference methods using observational data have considerably ...

Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized? The following represents disclosure information provided by authors ...