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Propensity Score Matching: A Conceptual Review for Radiology Researchers

The propensity score is defined as the probability of each individual study subject being assigned to a group of interest for comparison purposes. Propensity score adjustment is a method of ensuring an even distribution of confounders between groups, thereby increasing between group comparability. P...

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Detalles Bibliográficos
Autores principales: Baek, Seunghee, Park, Seong Ho, Won, Eugene, Park, Yu Rang, Kim, Hwa Jung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4347264/
https://www.ncbi.nlm.nih.gov/pubmed/25741190
http://dx.doi.org/10.3348/kjr.2015.16.2.286
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author Baek, Seunghee
Park, Seong Ho
Won, Eugene
Park, Yu Rang
Kim, Hwa Jung
author_facet Baek, Seunghee
Park, Seong Ho
Won, Eugene
Park, Yu Rang
Kim, Hwa Jung
author_sort Baek, Seunghee
collection PubMed
description The propensity score is defined as the probability of each individual study subject being assigned to a group of interest for comparison purposes. Propensity score adjustment is a method of ensuring an even distribution of confounders between groups, thereby increasing between group comparability. Propensity score analysis is therefore an increasingly applied statistical method in observational studies. The purpose of this article was to provide a step-by-step nonmathematical conceptual guide to propensity score analysis with particular emphasis on propensity score matching. A software program code used for propensity score matching was also presented.
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spelling pubmed-43472642015-03-04 Propensity Score Matching: A Conceptual Review for Radiology Researchers Baek, Seunghee Park, Seong Ho Won, Eugene Park, Yu Rang Kim, Hwa Jung Korean J Radiol Experimental and Others The propensity score is defined as the probability of each individual study subject being assigned to a group of interest for comparison purposes. Propensity score adjustment is a method of ensuring an even distribution of confounders between groups, thereby increasing between group comparability. Propensity score analysis is therefore an increasingly applied statistical method in observational studies. The purpose of this article was to provide a step-by-step nonmathematical conceptual guide to propensity score analysis with particular emphasis on propensity score matching. A software program code used for propensity score matching was also presented. The Korean Society of Radiology 2015 2015-02-27 /pmc/articles/PMC4347264/ /pubmed/25741190 http://dx.doi.org/10.3348/kjr.2015.16.2.286 Text en Copyright © 2015 The Korean Society of Radiology http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Experimental and Others
Baek, Seunghee
Park, Seong Ho
Won, Eugene
Park, Yu Rang
Kim, Hwa Jung
Propensity Score Matching: A Conceptual Review for Radiology Researchers
title Propensity Score Matching: A Conceptual Review for Radiology Researchers
title_full Propensity Score Matching: A Conceptual Review for Radiology Researchers
title_fullStr Propensity Score Matching: A Conceptual Review for Radiology Researchers
title_full_unstemmed Propensity Score Matching: A Conceptual Review for Radiology Researchers
title_short Propensity Score Matching: A Conceptual Review for Radiology Researchers
title_sort propensity score matching: a conceptual review for radiology researchers
topic Experimental and Others
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4347264/
https://www.ncbi.nlm.nih.gov/pubmed/25741190
http://dx.doi.org/10.3348/kjr.2015.16.2.286
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