Estimation of Causal Effects with Multiple Treatments: A Review and New Ideas
The propensity score is a common tool for estimating the causal effect of a binary treatment in observational data. In this setting, matching, subclassification, imputation, or inverse probability weighting on the propensity score can reduce the initial covariate bias between the treatment and contr...
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| Tipo de documento: | Electrónico Libro |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| En: | Año: 2017 |
| Acceso en línea: |
Volltext (kostenfrei) Volltext (kostenfrei) |
| Verificar disponibilidad: | HBZ Gateway |