MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||28|
|Section||Computer-Aided Advanced System and Management|
|Published online||15 February 2021|
The causal relationship k
Internist, Horandstrasse, DE-26441 - Jever, Germany
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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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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