Rubin causal model
The Rubin causal model (RCM), also known as the Neyman–Rubin causal model, is an approach to the statistical analysis of cause and effect based on the framework of potential outcomes, named after Donald Rubin. The name "Rubin causal model" was first coined by Rubin's graduate school colleague, Paul W. Holland. The potential outcomes framework was first proposed by Jerzy Neyman in his 1923 Master's thesis, though he discussed it only in the context of completely randomized experiments. Rubin, together with other contemporary statisticians, extended it into a general framework for thinking about causation in both observational and experimental studies.
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Rubin causal model
The Rubin causal model (RCM), also known as the Neyman–Rubin causal model, is an approach to the statistical analysis of cause and effect based on the framework of potential outcomes, named after Donald Rubin. The name "Rubin causal model" was first coined by Rubin's graduate school colleague, Paul W. Holland. The potential outcomes framework was first proposed by Jerzy Neyman in his 1923 Master's thesis, though he discussed it only in the context of completely randomized experiments. Rubin, together with other contemporary statisticians, extended it into a general framework for thinking about causation in both observational and experimental studies.
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El modelo causal de Rubin (RCM ...... ionales y cuasiexperimentales.
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Le modèle causal de Neyman-Rub ...... article de 1986 intitilé « ».
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The Rubin causal model (RCM), ...... onal and experimental studies.
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由统计学家Donald Rubin在20世纪70年代所发表的 ...... ctual effect。这就是所谓在因果推断种的根本性难题
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El modelo causal de Rubin (RCM ...... ionales y cuasiexperimentales.
@es
Le modèle causal de Neyman-Rub ...... article de 1986 intitilé « ».
@fr
The Rubin causal model (RCM), ...... onal and experimental studies.
@en
由统计学家Donald Rubin在20世纪70年代所发表的 ...... ctual effect。这就是所谓在因果推断种的根本性难题
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Modelo causal de Rubin
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Modèle causal de Neyman-Rubin
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Rubin causal model
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虚拟事实模型
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