Confounding in Causal Inference: The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference - Tapa blanda
Sinopsis
Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models.
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Reseña del editor
Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models.
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Confounding in Causal Inference: The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference
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LAP Lambert Academic Publishing, 2010
ISBN 10: 3838335392
ISBN 13: 9783838335391
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Confounding in Causal Inference The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference
Publicado por
LAP Lambert Academic Publishing, 2010
ISBN 10: 3838335392
ISBN 13: 9783838335391
Nuevo
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Confounding in Causal Inference: The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference
Publicado por
LAP Lambert Academic Publishing, 2010
ISBN 10: 3838335392
ISBN 13: 9783838335391
Nuevo
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Confounding in Causal Inference The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference
Publicado por
LAP Lambert Academic Publishing, 2010
ISBN 10: 3838335392
ISBN 13: 9783838335391
Nuevo
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Confounding in Causal Inference: The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference
Publicado por
LAP Lambert Academic Publishing, 2010
ISBN 10: 3838335392
ISBN 13: 9783838335391
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Confounding in Causal Inference: The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference
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LAP Lambert Academic Publishing 2010-04-09, 2010
ISBN 10: 3838335392
ISBN 13: 9783838335391
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Confounding in Causal Inference
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LAP LAMBERT Academic Publishing Dez 2009, 2009
ISBN 10: 3838335392
ISBN 13: 9783838335391
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models. 96 pp. Englisch. Nº de ref. del artículo: 9783838335391
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Confounding in Causal Inference
Publicado por
LAP Lambert Academic Publishing, 2009
ISBN 10: 3838335392
ISBN 13: 9783838335391
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Tapa blanda
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confo. Nº de ref. del artículo: 5414107
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Confounding in Causal Inference
Publicado por
LAP LAMBERT Academic Publishing Dez 2009, 2009
ISBN 10: 3838335392
ISBN 13: 9783838335391
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. Neuware -Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Nº de ref. del artículo: 9783838335391
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Confounding in Causal Inference : The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838335392
ISBN 13: 9783838335391
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models. Nº de ref. del artículo: 9783838335391
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