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arXiv · 2104.10618

Multiple conditional randomization tests for lagged and spillover treatment effects

Yao Zhang·Qingyuan Zhao
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Abstract

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.

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Yao Zhang, Qingyuan Zhao. 2021-04-21. Multiple conditional randomization tests for lagged and spillover treatment effects. https://arxiv.org/abs/2104.10618

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