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因果分析 Causal analysis
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因果分析（いんがぶんせき、英: causal analysis）とは、原因と結果の関係を明らかにするための実験計画法や統計学の分野である。一般的に、これには4つの要素が含まれており、それらは相関関係、時間的順序（つまり、原因はその結果候補の前に起こる必要がある）、観察された結果が起こりうる原因から導かれるもっともらしい物理的または情報理論的メカニズム、およびの可能性の排除である。このような分析には、通常、1つまたは複数の人工実験またはが含まれている。 Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the possibility of common and alternative ("special") causes. Such analysis usually involves one or more artificial or natural experiments.
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Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Typically it involves establishing four elements: correlation, sequence in time (that is, causes must occur before their proposed effect), a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the possibility of common and alternative ("special") causes. Such analysis usually involves one or more artificial or natural experiments. 因果分析（いんがぶんせき、英: causal analysis）とは、原因と結果の関係を明らかにするための実験計画法や統計学の分野である。一般的に、これには4つの要素が含まれており、それらは相関関係、時間的順序（つまり、原因はその結果候補の前に起こる必要がある）、観察された結果が起こりうる原因から導かれるもっともらしい物理的または情報理論的メカニズム、およびの可能性の排除である。このような分析には、通常、1つまたは複数の人工実験またはが含まれている。
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