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Linear estimation of average global effects
Over all estimators linear in the outcomes and all cluster-randomized designs the optimal geometric rate of convergence is $n^{-\frac{1}{2+\frac{1}{\eta}}}$, and this rate can be achieved using a generalized ``Scaling Clusters'' design that we provide.
A model of multiple hypothesis testing
Multiple hypothesis testing practices vary widely, without consensus on which are appropriate when.
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