Propensity Score Weighting for Causal Inference with Clustered Data
Propensity score weighting is a tool for causal inference to adjust for measured confounders in observational studies. In practice, data often present complex structures, such as clustering, which make propensity score modeling and estimation challenging. In addition, for clustered data, there may b...
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| Format: | Article |
| Language: | English |
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De Gruyter
2018-09-01
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| Series: | Journal of Causal Inference |
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| Online Access: | https://doi.org/10.1515/jci-2017-0027 |