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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| Format: | Electronic Book |
| Language: | English |
| Published: |
2017
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| In: | Year: 2017 |
| Online Access: |
Volltext (kostenfrei) Volltext (kostenfrei) |
| Check availability: | HBZ Gateway |