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A brief introduction to propensity score for anesthesiologists

Intergroup comparability is of paramount importance in clinical research since it is impossible to draw conclusions on a treatment if populations with different characteristics are compared. While an adequate randomization process in randomized controlled trials (RCTs) ensures a balanced distributio...

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Autores principales: De Cassai, Alessandro, Andreatta, Giulio, Boscolo, Annalisa, Munari, Marina, Navalesi, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Anesthesiologists 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403107/
https://www.ncbi.nlm.nih.gov/pubmed/32238789
http://dx.doi.org/10.4097/kja.20016
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author De Cassai, Alessandro
Andreatta, Giulio
Boscolo, Annalisa
Munari, Marina
Navalesi, Paolo
author_facet De Cassai, Alessandro
Andreatta, Giulio
Boscolo, Annalisa
Munari, Marina
Navalesi, Paolo
author_sort De Cassai, Alessandro
collection PubMed
description Intergroup comparability is of paramount importance in clinical research since it is impossible to draw conclusions on a treatment if populations with different characteristics are compared. While an adequate randomization process in randomized controlled trials (RCTs) ensures a balanced distribution of subjects between groups, the distribution in observational prospective and retrospective studies may be influenced by many confounders. Propensity score (PS) is a statistical technique that was developed more than 30 years ago with the purpose of estimating the probability to be assigned to a group. Once evaluated, the PS could be used to adjust and balance the groups using different methods such as matching, stratification, covariate adjustment, and weighting. The validity of PS is strictly related to the confounders used in the model, and confounders that are either not identified or not available will produce biases in the results. RCTs will therefore continue to provide the highest quality of evidence, but PS allows fine adjustments on otherwise unbalanced groups, which will increase the strength and quality of observational studies.
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spelling pubmed-74031072020-08-11 A brief introduction to propensity score for anesthesiologists De Cassai, Alessandro Andreatta, Giulio Boscolo, Annalisa Munari, Marina Navalesi, Paolo Korean J Anesthesiol Statistical Round Intergroup comparability is of paramount importance in clinical research since it is impossible to draw conclusions on a treatment if populations with different characteristics are compared. While an adequate randomization process in randomized controlled trials (RCTs) ensures a balanced distribution of subjects between groups, the distribution in observational prospective and retrospective studies may be influenced by many confounders. Propensity score (PS) is a statistical technique that was developed more than 30 years ago with the purpose of estimating the probability to be assigned to a group. Once evaluated, the PS could be used to adjust and balance the groups using different methods such as matching, stratification, covariate adjustment, and weighting. The validity of PS is strictly related to the confounders used in the model, and confounders that are either not identified or not available will produce biases in the results. RCTs will therefore continue to provide the highest quality of evidence, but PS allows fine adjustments on otherwise unbalanced groups, which will increase the strength and quality of observational studies. Korean Society of Anesthesiologists 2020-08 2020-04-02 /pmc/articles/PMC7403107/ /pubmed/32238789 http://dx.doi.org/10.4097/kja.20016 Text en Copyright © The Korean Society of Anesthesiologists, 2020 This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Statistical Round
De Cassai, Alessandro
Andreatta, Giulio
Boscolo, Annalisa
Munari, Marina
Navalesi, Paolo
A brief introduction to propensity score for anesthesiologists
title A brief introduction to propensity score for anesthesiologists
title_full A brief introduction to propensity score for anesthesiologists
title_fullStr A brief introduction to propensity score for anesthesiologists
title_full_unstemmed A brief introduction to propensity score for anesthesiologists
title_short A brief introduction to propensity score for anesthesiologists
title_sort brief introduction to propensity score for anesthesiologists
topic Statistical Round
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403107/
https://www.ncbi.nlm.nih.gov/pubmed/32238789
http://dx.doi.org/10.4097/kja.20016
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