Propensity Score Matching Underestimates Real Treatment Effect, in a Simulated Theoretical Multivariate Model
Propensity Score Matching (PSM) is a useful method to reduce the impact of Treatment-Selection Bias in the estimation of causal effects in observational studies. After matching, the PSM significantly reduces the sample under investigation, which may lead to other possible biases (due to overfitting,...
Main Author: | Daniel Garcia Iglesias |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/9/1547 |
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