Errors in causal diagrams elicited from experts can lead to the omission of important confounding variables from adjustment sets and render causal inferences invalid. In this report, a novel method is ...
Joint efforts kick off with DREAM Challenge that allows scientists to compute on NIH’s Covid data in a privacy-enhancing environment and experience an unprecedented level of transparency in generative ...
Carisa Harris-Adamson, Ellen A Eisen, Andreas Neophytou, Jay Kapellusch, Arun Garg, Kurt T Hegmann, Matthew S Thiese, Ann Marie Dale, Bradley Evanoff, Stephen Bao, Barbara Silverstein, Fred Gerr, ...
Why is this unit important? Causal inference considers the assumptions, study designs, and estimation strategies that allow researchers to draw causal conclusions based on data. Applied to ...
LEBANON, N.H.--(BUSINESS WIRE)--Jan. 10, 2006--isee systems, the world leader in Systems Thinking software, announced version 9 releases of STELLA(R) and iThink(R). Major feature additions include ...
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