Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data
(1) Background: Propensity score methods gained popularity in non-interventional clinical studies. As it may often occur in observational datasets, some values in baseline covariates are missing for some patients. The present study aims to compare the performances of popular statistical methods to d...
Main Authors: | Daniele Bottigliengo, Giulia Lorenzoni, Honoria Ocagli, Matteo Martinato, Paola Berchialla, Dario Gregori |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
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Series: | International Journal of Environmental Research and Public Health |
Subjects: | |
Online Access: | https://www.mdpi.com/1660-4601/18/13/6694 |
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