Too Long; Didn't Read

Delve into the decision-making process of choosing between cluster and Bernoulli designs in experiments. This paper thoroughly explores worst-case bias and variance, offering valuable insights into the optimal use of cluster designs. Uncover scenarios where cluster designs outperform Bernoulli designs and gain practical implications for experimental bias considerations. Discover a rule of thumb for making informed decisions, especially in the presence of equally sized clusters, ensuring your experimental design aligns with your research goals.

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EScholar: Electronic Academic Papers for Scholars

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