Multiple conditional randomization tests for lagged and spillover treatment effects
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2021
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| _version_ | 1866929536195624960 |
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| author | Zhang, Yao Zhao, Qingyuan |
| author_facet | Zhang, Yao Zhao, Qingyuan |
| contents | We consider the problem of constructing multiple independent conditional randomization tests using a single dataset. Because the tests are independent, the randomization p-values can be interpreted individually and combined using standard methods for multiple testing. We give a simple, sequential construction of such tests, and then discuss its application to three problems: Rosenbaum's evidence factors for observational studies, lagged treatment effect in stepped-wedge trials, and spillover effect in randomized trials with interference. We compare the proposed approach with some existing methods using simulated and real datasets. Finally, we establish a more general sufficient condition for independent conditional randomization tests. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2104_10618 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Multiple conditional randomization tests for lagged and spillover treatment effects Zhang, Yao Zhao, Qingyuan Statistics Theory Methodology 62G10, 62B15 We consider the problem of constructing multiple independent conditional randomization tests using a single dataset. Because the tests are independent, the randomization p-values can be interpreted individually and combined using standard methods for multiple testing. We give a simple, sequential construction of such tests, and then discuss its application to three problems: Rosenbaum's evidence factors for observational studies, lagged treatment effect in stepped-wedge trials, and spillover effect in randomized trials with interference. We compare the proposed approach with some existing methods using simulated and real datasets. Finally, we establish a more general sufficient condition for independent conditional randomization tests. |
| title | Multiple conditional randomization tests for lagged and spillover treatment effects |
| topic | Statistics Theory Methodology 62G10, 62B15 |
| url | https://arxiv.org/abs/2104.10618 |