Group Testing, Randomized Testing, Leadership Featured in May Issue

摘要

The May 2019 issue of The American Statistician features 12 articles spanning a variety of topics. The General section has five articles. One discusses group testing and includes an overview of the field while delving into constructing optimal designs. A second article introduces randomized testing to the context of non-negative distributions with zero clumping. Confidence intervals and point estimation based on randomized tests are also discussed. A third article considers Bayesian analyses of multinomial distributions with particular interest in how alternative priors have advantages and disadvantages for data with zero count categories. A fourth article formulates the two-sample t-test in a geometric framework and establishes connections between Student's t-distribution and Fisher-Student's central hypersphere h-distribution. The fifth article in this section discusses three keys to statistical leadership and includes illustrations from the drug development industry.