Much progress has been made over the past decade with the development of novel
methods for addressing increasingly more complex multiplicity problems arising in …

Multiple testing refers to the testing of more than one hypothesis at a time. It is a subfield of
the broader field of multiple inference, or simultaneous inference, which includes multiple …

Fractional factorial experiments are used frequently in industry, especially in various stages
of product development and in process and quality improvement. In a fractional factorial …

Multiple Comparisons introduces simultaneous statistical inference and covers the theory
and techniques for all-pairwise comparisons, multiple comparisons with the best, and …

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R
describes the common underlying theory of multiple comparison procedures through …

While current guidelines generally recommend single endpoints for primary analyses of
confirmatory clinical trials, it is recognized that certain settings require inference on multiple …

The bioequivalence problem is of practical importance because the approval of most
generic drugs in the United States and the European Community (EC) requires the …

Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical
industry, academia, and regulatory agencies, this volume explores the rapidly growing area …

Combining Information: Statistical Issues and Opportunities for Research | The National
Academies Press Skip to main content Navigate to Help Ordering Information New …

The basic ideas of multiple testing are outlined and the problem of how to control the
probability of erroneous decisions is discussed. The main emphasis is on the concept of the …