Overview on the generalized propensity scoring estimator for continuous treatment / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 572-577, 2022.
Artigo
em Chinês
| WPRIM
| ID: wpr-935429
ABSTRACT
Among kinds of methods for causal inference in observational studies, the propensity score (PS) method to control measured confounding is more widely used. PS method usually consists of two critical steps:
first, estimating the propensity score, followed by calculating the causal parameters of interest by regression, weighting, matching, and stratification. Unlike the traditional dichotomous treatment, the generalized propensity scoring estimator used for continuous treatment has been proposed in recent years. Many methods have been developed to estimate the generalized propensity score or even estimate the balancing weight directly. This paper introduces the existing estimators from both the model-based and balance-based perspectives.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Projetos de Pesquisa
/
Simulação por Computador
/
Causalidade
/
Pontuação de Propensão
Tipo de estudo:
Estudo observacional
/
Estudo prognóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Chinese Journal of Epidemiology
Ano de publicação:
2022
Tipo de documento:
Artigo
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