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Universitetet i Bergen

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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Exemplary application of CNA in democracy research

Jesse Rhodes delivers an exemplary study applying Coincidence Analysis (CNA) to discover causal paths leading to substantial improvement in subnational democracy in the U.S. states.

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CNA introduced for causal learning in vaccination settings

Abdu A. Adamu and colleagues introduced CNA as a tool to improve immunization decision-making and address disparities in vaccination coverage, arguing that CNA can help immunization stakeholders better understand implementation conditions across districts and develop tailored strategies for...

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CNA taught at two training workshops in Asia

In July 2025, the PATANG team at The George Institute for Global Health (TGI) organized two CNA training workshops in Asia: one in Bali, Indonesia, in collaboration with the International Health Economics Association (IHEA), and one at the Indian Institute of Technology Madras, co-hosted by the...

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JCI

New measures for evaluating CNA models

Luna De Souter identifies shortcomings of the two main measures for evaluating CNA models, consistency and coverage, and introduces two new evaluation measures.