Optimal Group Testing Designs for Estimating Prevalence with Uncertain Testing Errors
检测误差不确定时估计患病率的最优合并检测设计
Summary We construct optimal designs for group testing experiments where the goal is to estimate the prevalence of a trait by using a test with uncertain sensitivity and specificity. Using optimal design theory for approximate designs, we show that the most efficient design for simultaneously estimating the prevalence, sensitivity and specificity requires three different group sizes with equal frequencies. However, if estimating prevalence as accurately as possible is the…