Abstract
Aim: A detailed and sophisticated analysis of causal relationships and chains of causation in medicine, life and other sciences by logically consistent statistical meth¬ods in the light of empirical data is still not a matter of daily routine for us.Methods: In this publication, the relationship between cause and effect is characterized while using the tools of classical logic and probability theory.Results: Methods how to determine conditions are developed in detail. The causal rela-tionship k has been derived mathematically from the axiom +1 = +1.Conclusion: Non-experimental and experimental data can be analysed by the methods presented for causal relationships.
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CITATION STYLE
Barukčić, I. (2021). The causal relationship k. MATEC Web of Conferences, 336, 09032. https://doi.org/10.1051/matecconf/202133609032
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