Some Considerations on the Back Door Theorem and Conditional Randomization

Autores
Molina, Julieta; Pantazis, Lucio José; Sued, Raquel Mariela
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, we propose a different “surgical modified model” for the construction of counterfactual variables under non-parametric structural equation models. This approach allows the simultaneous representation of counterfactual responses and observed treatment assignment, at least when the intervention is done in one node. Using the new proposal, the d-separation criterion is used to verify conditions related with ignorability or conditional ignorability, and a new proof of the back door theorem is provided under this framework.
Fil: Molina, Julieta. Universidad de Buenos Aires; Argentina
Fil: Pantazis, Lucio José. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sued, Raquel Mariela. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Causal Inference
Graphical Methods
Back Door Theorem
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/33174
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Some Considerations on the Back Door Theorem and Conditional RandomizationMolina, JulietaPantazis, Lucio JoséSued, Raquel MarielaCausal InferenceGraphical MethodsBack Door Theoremhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In this work, we propose a different “surgical modified model” for the construction of counterfactual variables under non-parametric structural equation models. This approach allows the simultaneous representation of counterfactual responses and observed treatment assignment, at least when the intervention is done in one node. Using the new proposal, the d-separation criterion is used to verify conditions related with ignorability or conditional ignorability, and a new proof of the back door theorem is provided under this framework.Fil: Molina, Julieta. Universidad de Buenos Aires; ArgentinaFil: Pantazis, Lucio José. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sued, Raquel Mariela. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaDe Gruyter2014-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/33174Pantazis, Lucio José; Molina, Julieta; Sued, Raquel Mariela; Some Considerations on the Back Door Theorem and Conditional Randomization; De Gruyter; Epidemiologic Methods; 3; 1; 11-2014; 113-1202194-92632161-962XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1515/em-2013-0018info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/view/j/em.2014.3.issue-1/em-2013-0018/em-2013-0018.xmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:06:13Zoai:ri.conicet.gov.ar:11336/33174instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:06:14.056CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Some Considerations on the Back Door Theorem and Conditional Randomization
title Some Considerations on the Back Door Theorem and Conditional Randomization
spellingShingle Some Considerations on the Back Door Theorem and Conditional Randomization
Molina, Julieta
Causal Inference
Graphical Methods
Back Door Theorem
title_short Some Considerations on the Back Door Theorem and Conditional Randomization
title_full Some Considerations on the Back Door Theorem and Conditional Randomization
title_fullStr Some Considerations on the Back Door Theorem and Conditional Randomization
title_full_unstemmed Some Considerations on the Back Door Theorem and Conditional Randomization
title_sort Some Considerations on the Back Door Theorem and Conditional Randomization
dc.creator.none.fl_str_mv Molina, Julieta
Pantazis, Lucio José
Sued, Raquel Mariela
author Molina, Julieta
author_facet Molina, Julieta
Pantazis, Lucio José
Sued, Raquel Mariela
author_role author
author2 Pantazis, Lucio José
Sued, Raquel Mariela
author2_role author
author
dc.subject.none.fl_str_mv Causal Inference
Graphical Methods
Back Door Theorem
topic Causal Inference
Graphical Methods
Back Door Theorem
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this work, we propose a different “surgical modified model” for the construction of counterfactual variables under non-parametric structural equation models. This approach allows the simultaneous representation of counterfactual responses and observed treatment assignment, at least when the intervention is done in one node. Using the new proposal, the d-separation criterion is used to verify conditions related with ignorability or conditional ignorability, and a new proof of the back door theorem is provided under this framework.
Fil: Molina, Julieta. Universidad de Buenos Aires; Argentina
Fil: Pantazis, Lucio José. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sued, Raquel Mariela. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description In this work, we propose a different “surgical modified model” for the construction of counterfactual variables under non-parametric structural equation models. This approach allows the simultaneous representation of counterfactual responses and observed treatment assignment, at least when the intervention is done in one node. Using the new proposal, the d-separation criterion is used to verify conditions related with ignorability or conditional ignorability, and a new proof of the back door theorem is provided under this framework.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/33174
Pantazis, Lucio José; Molina, Julieta; Sued, Raquel Mariela; Some Considerations on the Back Door Theorem and Conditional Randomization; De Gruyter; Epidemiologic Methods; 3; 1; 11-2014; 113-120
2194-9263
2161-962X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/33174
identifier_str_mv Pantazis, Lucio José; Molina, Julieta; Sued, Raquel Mariela; Some Considerations on the Back Door Theorem and Conditional Randomization; De Gruyter; Epidemiologic Methods; 3; 1; 11-2014; 113-120
2194-9263
2161-962X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1515/em-2013-0018
info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/view/j/em.2014.3.issue-1/em-2013-0018/em-2013-0018.xml
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv De Gruyter
publisher.none.fl_str_mv De Gruyter
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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