Multiple testing problems are often seen in clinical trials. An appropriate testing procedure should be specified to deal with the potential inflation of type I error rate due to multiplicity. In this
Conjoint analysis is widely used for estimating the effects of a large number of treatments on multidimensional decision making. However, it is this substantive advantage that leads to a statistically
Exploiting spatial patterns in large-scale multiple testing promises to improve both power and interpretability of false discovery rate (FDR) analyses. This article develops a new class of locally–ada
