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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| Medienart: | Elektronisch Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
2017
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| In: | Jahr: 2017 |
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Volltext (kostenfrei) Volltext (kostenfrei) |
| Verfügbarkeit prüfen: | HBZ Gateway |