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Análisis mediante variables instrumentales para establecer causalidad en investigaciones observacionales / Analysis through instrumental variables to establish causality in observational research
Sguiglia, Sebastian.
Affiliation
  • Sguiglia, Sebastian; Hospital Italiano de Buenos Aires. Servicio de Medicina Familiar y Comunitaria. Ciudad Autónoma de Buenos Aires. AR
Evid. actual. práct. ambul ; 26(4): e007097, 2023. ilus, tab
Article in Spanish | LILACS, UNISALUD, BINACIS | ID: biblio-1526419
Responsible library: AR2.1
RESUMEN
La identificación de relaciones causales es uno de los problemas fundamentales de la investigación científica en medicina y es necesaria para poder ejercerla en forma efectiva. Sin embargo, desde el punto de vista práctico es difícil establecer la existencia de relaciones causales en estudios de carácter observacional, en gran parte por la presencia de factores de confusión. El análisis a través de variables instrumentales es una de las estrategias que permite controlar el efecto confundidor y documentar la presencia de relaciones causa-efecto en estas situaciones. En este artículo, el autor resume los principales supuestos del análisis a través de variables instrumentales, haciendo foco en la aleatorización mendeliana. (AU)
ABSTRACT
The identification of causal relationships is one of the fundamental challenges in scientific research in medicine and is necessary for its effective practice. However, from a practical standpoint, establishing the existence of causal relationships in observational studies is difficult, largely due to the presence of confounding factors. Analysis through instrumental variables is one of the strategies that allows to control the confounding effect and documenting the presence of cause-and-effect relationships in these situations. In this article, the author summarizes the main assumptions of analysis through instrumental variables, with a focus on Mendelian randomization. (AU)
Subject(s)


Full text: Available Collection: National databases Database: BINACIS / LILACS / UNISALUD Main subject: Epidemiologic Methods / Confounding Factors, Epidemiologic / Observational Studies as Topic Type of study: Controlled clinical trial / Etiology study / Observational study / Prognostic study Language: Spanish Journal: Evid. actual. práct. ambul Year: 2023 Document type: Article Institution/Affiliation country: Hospital Italiano de Buenos Aires/AR

Full text: Available Collection: National databases Database: BINACIS / LILACS / UNISALUD Main subject: Epidemiologic Methods / Confounding Factors, Epidemiologic / Observational Studies as Topic Type of study: Controlled clinical trial / Etiology study / Observational study / Prognostic study Language: Spanish Journal: Evid. actual. práct. ambul Year: 2023 Document type: Article Institution/Affiliation country: Hospital Italiano de Buenos Aires/AR
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