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Inferencia causal en epidemiología.

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Title: Inferencia causal en epidemiología.
Alternate Title: Causal inference in epidemiology.
Authors: Rodríguez-Villamizar, Laura A.1 laurovi@uis.edu.co
Source: Revista de Salud Pública. may/jun2017, Vol. 19 Issue 3, p409-415. 7p.
Abstract (English): This essay makes a brief account of the historical development of epidemiology as a fundamental element for understanding the development of thought and causality models. Subsequently, the theoretical foundations that support the identification of causal relationships and the available models and methods of analysis are exposed, providing some examples of their application. Finally, the strengths and limitations of this epidemiological analysis during the identification of causal relationships are presented. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): En este ensayo se revisa de manera breve el desenvolvimiento histórico de la definición de causa para comprender el desarrollo del pensamiento y de los modelos de causalidad. Posteriormente, se presentan los fundamentos teóricos que sustentan la identificación de relaciones causales y los modelos y métodos de análisis disponibles. Finalmente, se presentan algunas conclusiones respecto a las fortalezas y limitaciones que ofrece el análisis contrafactual en la identificación de relaciones causales en epidemiología social. [ABSTRACT FROM AUTHOR]
Copyright of Revista de Salud Pública is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Causal inference in epidemiology.
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  Data: <searchLink fieldCode="AR" term="%22Rodríguez-Villamizar%2C+Laura+A%2E%22">Rodríguez-Villamizar, Laura A.</searchLink><relatesTo>1</relatesTo><i> laurovi@uis.edu.co</i>
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  Data: <searchLink fieldCode="JN" term="%22Revista+de+Salud+Pública%22">Revista de Salud Pública</searchLink>. may/jun2017, Vol. 19 Issue 3, p409-415. 7p.
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  Data: This essay makes a brief account of the historical development of epidemiology as a fundamental element for understanding the development of thought and causality models. Subsequently, the theoretical foundations that support the identification of causal relationships and the available models and methods of analysis are exposed, providing some examples of their application. Finally, the strengths and limitations of this epidemiological analysis during the identification of causal relationships are presented. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: En este ensayo se revisa de manera breve el desenvolvimiento histórico de la definición de causa para comprender el desarrollo del pensamiento y de los modelos de causalidad. Posteriormente, se presentan los fundamentos teóricos que sustentan la identificación de relaciones causales y los modelos y métodos de análisis disponibles. Finalmente, se presentan algunas conclusiones respecto a las fortalezas y limitaciones que ofrece el análisis contrafactual en la identificación de relaciones causales en epidemiología social. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Revista de Salud Pública is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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