El ensayo diana para la inferencia causal en estudios observacionales.
Saved in:
| Title: | El ensayo diana para la inferencia causal en estudios observacionales. |
|---|---|
| Alternate Title: | The target trial framework for causal inference with observational studies. |
| Authors: | Núñez, Isaac1,2 isaac_nunezsaavedra@g.harvard.edu, Lajous, Martín3,4 |
| Source: | Salud Pública de México. ene/feb2025, Vol. 67 Issue 1, p83-90. 8p. |
| Subjects: | CAUSAL inference, RESEARCH questions, SCIENTIFIC observation, CLINICAL trials, CLINICAL epidemiology |
| Abstract (English): | The use of observational studies for causal inference is a necessity, as randomized trials are not always available or possible to carry out. To reduce sources of bias present in "classical" observational studies, the target trial framework has been proposed. First one defines the following components of the pragmatic clinical trial (the target trial) would answer our research question: eligibility criteria, treatment strategies, assignment, follow-up, outcomes, causal contrast, and statistical analysis plan. Then, these components are modified based on available observational data, and used to emulate the target trial as closely as possible. This leads to observational studies that are generally less biased and with more reliable results. Nonetheless, it is important to consider the limitations of this framework given it is still an observational study and not a randomized experiment. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | El uso de estudios observacionales para inferencia causal es una necesidad, ya que no siempre se cuenta con ensayos clínicos aleatorizados. Para reducir las fuentes de sesgo presentes en estudios observacionales "clásicos" se ha propuesto utilizar el marco de referencia del ensayo diana. Esto es, primero, definir los siguientes componentes del protocolo del ensayo clínico pragmático (el ensayo diana) que respondería nuestra pregunta de investigación: criterios de elegibilidad, estrategias de tratamiento, métodos de asignación, periodo de seguimiento, desenlace, contrastes causales y plan de análisis. Posteriormente, estos componentes se modifican con base en los datos observacionales disponibles y se utilizan para emular al ensayo diana lo más de cerca posible. Esto resulta en estudios observacionales con menos sesgo y resultados más confiables. Sin embargo, siguen tradándose de estudios observacionales y no de experimentos aleatorizados, lo cual les confiere algunas limitaciones. [ABSTRACT FROM AUTHOR] |
| Copyright of Salud Pública de México is the property of Instituto Nacional de Salud Publica 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.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: lth DbLabel: MedicLatina An: 182258418 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: El ensayo diana para la inferencia causal en estudios observacionales. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: The target trial framework for causal inference with observational studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Núñez%2C+Isaac%22">Núñez, Isaac</searchLink><relatesTo>1,2</relatesTo><i> isaac_nunezsaavedra@g.harvard.edu</i><br /><searchLink fieldCode="AR" term="%22Lajous%2C+Martín%22">Lajous, Martín</searchLink><relatesTo>3,4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Salud+Pública+de+México%22">Salud Pública de México</searchLink>. ene/feb2025, Vol. 67 Issue 1, p83-90. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22CAUSAL+inference%22">CAUSAL inference</searchLink><br /><searchLink fieldCode="DE" term="%22RESEARCH+questions%22">RESEARCH questions</searchLink><br /><searchLink fieldCode="DE" term="%22SCIENTIFIC+observation%22">SCIENTIFIC observation</searchLink><br /><searchLink fieldCode="DE" term="%22CLINICAL+trials%22">CLINICAL trials</searchLink><br /><searchLink fieldCode="DE" term="%22CLINICAL+epidemiology%22">CLINICAL epidemiology</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: The use of observational studies for causal inference is a necessity, as randomized trials are not always available or possible to carry out. To reduce sources of bias present in "classical" observational studies, the target trial framework has been proposed. First one defines the following components of the pragmatic clinical trial (the target trial) would answer our research question: eligibility criteria, treatment strategies, assignment, follow-up, outcomes, causal contrast, and statistical analysis plan. Then, these components are modified based on available observational data, and used to emulate the target trial as closely as possible. This leads to observational studies that are generally less biased and with more reliable results. Nonetheless, it is important to consider the limitations of this framework given it is still an observational study and not a randomized experiment. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: El uso de estudios observacionales para inferencia causal es una necesidad, ya que no siempre se cuenta con ensayos clínicos aleatorizados. Para reducir las fuentes de sesgo presentes en estudios observacionales "clásicos" se ha propuesto utilizar el marco de referencia del ensayo diana. Esto es, primero, definir los siguientes componentes del protocolo del ensayo clínico pragmático (el ensayo diana) que respondería nuestra pregunta de investigación: criterios de elegibilidad, estrategias de tratamiento, métodos de asignación, periodo de seguimiento, desenlace, contrastes causales y plan de análisis. Posteriormente, estos componentes se modifican con base en los datos observacionales disponibles y se utilizan para emular al ensayo diana lo más de cerca posible. Esto resulta en estudios observacionales con menos sesgo y resultados más confiables. Sin embargo, siguen tradándose de estudios observacionales y no de experimentos aleatorizados, lo cual les confiere algunas limitaciones. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Salud Pública de México is the property of Instituto Nacional de Salud Publica 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=lth&AN=182258418 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21149/16056 Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 8 StartPage: 83 Subjects: – SubjectFull: CAUSAL inference Type: general – SubjectFull: RESEARCH questions Type: general – SubjectFull: SCIENTIFIC observation Type: general – SubjectFull: CLINICAL trials Type: general – SubjectFull: CLINICAL epidemiology Type: general Titles: – TitleFull: El ensayo diana para la inferencia causal en estudios observacionales. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Núñez, Isaac – PersonEntity: Name: NameFull: Lajous, Martín IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: ene/feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00363634 Numbering: – Type: volume Value: 67 – Type: issue Value: 1 Titles: – TitleFull: Salud Pública de México Type: main |
| ResultId | 1 |
