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Koinsidensanalyse

Hovedinnhold

Coincidence Analysis (CNA) er en konfigurasjons-komparativ metode for kausalanalyser av empiriske data som modellerer de boolske dimensjonene av kausalstrukturer. Prosjektet videreutvikler CNA. Det er medfinansiert av Universitetet i Bergen og Bergens forskningsstiftelse som en del av Toppforsk-programmet. For mer informasjon, se lenke nedenfor til prosjektets engelske sider.

For more details see the English website.

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ACI

Coincidence Analysis introduced to medical informatics

The data analysis method of Coincidence Analysis has been introduced to the field of medical informatics: Womack DM, Miech EJ, Fox NJ, Silvey LC, Somerville AM, Eldredge DH, Steege LM. (2022), Coincidence Analysis: A Novel Approach to Modeling Nurses' Workplace Experience, Applied Clinical...

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JQ_young

International Visiting Fellowship for Martyna Swiatczak

Martyna Swiatczak is visiting the University of Frankfurt for three months.

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synthese

New publication of the CNA group

Veli-Pekka Parkkinen argues that variable relativity is good, in a paper that recently appeared in Synthese: Parkkinen, VP. Variable relativity of causation is good. Synthese 200, 194 (2022). https://doi.org/10.1007/s11229-022-03676-0

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logoNCR

FRIPRO project granted

The CNA group is very happy to announce that the Research Council of Norway (Forskningsrådet) will fund the further development of CNA with NOK 12,000,000 over the coming years.

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MBR Logo

New publication of the CNA group

Michael Baumgartner and Christoph Falk published a paper entitled "Configurational Causal Modeling and Logic Regression" in Multivariate Behavioral Research (2021): https://doi.org/10.1080/00273171.2021.1971510