A simple method is provided to construct a general class of individual and simultaneous confidence intervals for the effects in orthogonal saturated designs. These intervals use the data adaptively, maintain the confidence levels sharply at 1 - α at the least favorable parameter configuration, work effectively under effect sparsity, and include the intervals by Wang and Voss (2001) as a special case.
& Voss, D. T.
(2003). On Adaptive Estimation in Orthogonal Saturated Designs. Statistica Sinica, 13 (3), 727-737.