A Lasso approach to covariate selection and average treatment effect estimation for clustered RCTs using design-based methods
Statistical power is often a concern for clustered randomized control trials (RCTs) due to variance inflation from design effects and the high cost of adding study clusters (such as hospitals, schools, or communities). While covariate pre-specification can improve power for estimating regression-adj...
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| Format: | Article |
| Language: | English |
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De Gruyter
2022-12-01
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| Series: | Journal of Causal Inference |
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| Online Access: | https://doi.org/10.1515/jci-2021-0036 |