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,...

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Autor principal: Daniel Garcia Iglesias
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-05-01
coleção:Mathematics
Assuntos:
propensity score matching
multivariate analysis
general linear model
Monte Carlo method
causal effect estimation
observational study
Acesso em linha:https://www.mdpi.com/2227-7390/10/9/1547
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