Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings

Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings

Abstract Background Propensity score matching is a statistical method that is often used to make inferences on the treatment effects in observational studies. In recent years, there has been widespread use of the technique in the cardiothoracic surgery literature to evaluate to potential benefits of...

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Bibliographic Details
Main Authors: Daniele Bottigliengo, Ileana Baldi, Corrado Lanera, Giulia Lorenzoni, Jonida Bejko, Tomaso Bottio, Vincenzo Tarzia, Massimiliano Carrozzini, Gino Gerosa, Paola Berchialla, Dario Gregori
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Medical Research Methodology
Subjects:
Propensity score matching
Oversampling
Replacement
Small samples
Monte Carlo simulations
Online Access:https://doi.org/10.1186/s12874-021-01454-z

Internet

https://doi.org/10.1186/s12874-021-01454-z

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