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In the philosophy of science, a causal model (or structural causal model) is a conceptual model that describes the causal mechanisms of a system. Causal models can improve study designs by providing clear rules for deciding which independent variables need to be included/controlled for. They can allow some questions to be answered from existing observational data without the need for an interventional study such as a randomized controlled trial. Some interventional studies are inappropriate for ethical or practical reasons, meaning that without a causal model, some hypotheses cannot be tested.

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  • Causal model (en)
  • Modello causale (it)
  • Каузальная модель (ru)
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  • Un modello causale è un modello astratto che descrive il meccanismo causale di un sistema. Il modello deve esprimere più di una correlazione, poiché la . Judea Pearl definisce un modello causale come un insieme ordinato di tre elementi , in cui U è a sua volta un insieme di variabili esogene i cui valori sono determinati da fattori esterni al modello; V è un insieme di i cui valori sono determinati da fattori interni al modello; ed E è un insieme di che esprimono il valore di ciascuna variabile endogena come una funzione dei valori assunti dalle altre variabili in U e V. (it)
  • In the philosophy of science, a causal model (or structural causal model) is a conceptual model that describes the causal mechanisms of a system. Causal models can improve study designs by providing clear rules for deciding which independent variables need to be included/controlled for. They can allow some questions to be answered from existing observational data without the need for an interventional study such as a randomized controlled trial. Some interventional studies are inappropriate for ethical or practical reasons, meaning that without a causal model, some hypotheses cannot be tested. (en)
  • Каузальная модель, причинная модель — это концептуальная модель, описывающая причинные механизмы системы. Каузальные модели могут повысить качество исследования, предоставляя чёткие правила включения независимых переменных в анализ. Они могут позволить ответить на некоторые вопросы на основе существующих данных наблюдений без необходимости интервенционного исследования, такого как рандомизированное контролируемое испытание. Некоторые интервенционные исследования не подходят по этическим или практическим причинам, а это означает, что без каузальной модели некоторые гипотезы не могут быть проверены. (ru)
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  • http://commons.wikimedia.org/wiki/Special:FilePath/Diagram_of_Dynamic_Causal_Modelling_-_Causal_Modelling_and_Brain_Connectivity_in_Functional_Magnetic_Resonance_Imaging_by_Karl_Friston.png
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