Statistical discoveries are often obtained through multiple hypothesis testing. A variety of procedures exists to evaluate multiple hypotheses, for instance the ones of Benjamini-Hochberg, Bonferroni, Holm or Sidak. We are particularly interested in multiple testing procedures with two desired properties: (solely) monotonic and well-behaved procedures. This article investigates to which extent the classes of (monotonic or well-behaved) multiple testing procedures, in particular the subclasses of so-called step-up and step-down procedures, are closed under basic set operations, specifically the union, intersection, difference and the complement of sets of rejected or non-rejected hypotheses. The present article proves two main results: First...
We consider the class of all multiple testing methods controlling tail probabilities of the false di...
Two known results in multiple testing, one relating to the directional error control of augmented st...
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing ...
This paper deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MCPs...
summary: in this paper we show how to apply the closure test principle in case of testing linear hyp...
This article deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MC...
Consider the problem of testing k hypotheses simultaneously. In this article we discuss finite- and ...
Thesis (M.S.)--Wichita State University, Fairmount College of Liberal Arts and Sciences, Dept. of Ma...
summary: this paper deals with the application of multiple test procedures in the linear regression ...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
We study the class of general step-down multiple testing procedures, which contains the usually cons...
Consider the multiple testing problem of testing k null hypotheses, where the unknown family of dist...
The closed testing principle provides a general and simple framework to con-struct powerful multiple...
We present a theoretical basis for testing related endpoints. Typically, it is known how to construc...
The field of multiple hypothesis testing has traditionally focused on defining and estimating vari...
We consider the class of all multiple testing methods controlling tail probabilities of the false di...
Two known results in multiple testing, one relating to the directional error control of augmented st...
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing ...
This paper deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MCPs...
summary: in this paper we show how to apply the closure test principle in case of testing linear hyp...
This article deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MC...
Consider the problem of testing k hypotheses simultaneously. In this article we discuss finite- and ...
Thesis (M.S.)--Wichita State University, Fairmount College of Liberal Arts and Sciences, Dept. of Ma...
summary: this paper deals with the application of multiple test procedures in the linear regression ...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
We study the class of general step-down multiple testing procedures, which contains the usually cons...
Consider the multiple testing problem of testing k null hypotheses, where the unknown family of dist...
The closed testing principle provides a general and simple framework to con-struct powerful multiple...
We present a theoretical basis for testing related endpoints. Typically, it is known how to construc...
The field of multiple hypothesis testing has traditionally focused on defining and estimating vari...
We consider the class of all multiple testing methods controlling tail probabilities of the false di...
Two known results in multiple testing, one relating to the directional error control of augmented st...
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing ...