Statistical analyses often involve testing multiple hypotheses that are naturally grouped into a fixed sequence of families. An effective approach to control the familywise error rate is to prioritize the importance of prespecification in the testing order. A gatekeeping testing procedure examines the first family with no multiple adjustment and then examines the subsequent family depending on the decision made with respect to the previous one. In this paper, we describe the union closure method that can be used to design gatekeeping procedures. A bipolar disorder trial with three primary and two secondary outcomes is presented as an example. Power comparisons based on the bipolar disorder trial show that the proposed gatekeeping procedures...
In this article, we introduce a novel procedure for improving power of multiple testing procedures (...
In applications of clinical trials, the hypotheses to be tested often exhibit a hierarchical structu...
In multiple hypotheses testing, it is important to control the probability of rejecting true null ...
We present a theoretical basis for testing related endpoints. Typically, it is known how to construc...
We present a theoretical basis for testing related endpoints. Typically, it is known how to construc...
Statistical discoveries are often obtained through multiple hypothesis testing. A variety of procedu...
ABSTRACT. We present a unifying approach to multiple testing procedures for sequential (or streaming...
A general multistage (stepwise) procedure is proposed for dealing with arbitrary gatekeeping problem...
In the past century, several multiple testing procedures have been developed based on the closure pr...
In this paper we describe methods for addressing multiplicity issues arising in the analysis of clin...
This article deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MC...
This paper deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MCPs...
In multiple testing, strong control of the familywise error rate (FWER) may be unnecessarily stringe...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
We consider the class of all multiple testing methods controlling tail probabilities of the false di...
In this article, we introduce a novel procedure for improving power of multiple testing procedures (...
In applications of clinical trials, the hypotheses to be tested often exhibit a hierarchical structu...
In multiple hypotheses testing, it is important to control the probability of rejecting true null ...
We present a theoretical basis for testing related endpoints. Typically, it is known how to construc...
We present a theoretical basis for testing related endpoints. Typically, it is known how to construc...
Statistical discoveries are often obtained through multiple hypothesis testing. A variety of procedu...
ABSTRACT. We present a unifying approach to multiple testing procedures for sequential (or streaming...
A general multistage (stepwise) procedure is proposed for dealing with arbitrary gatekeeping problem...
In the past century, several multiple testing procedures have been developed based on the closure pr...
In this paper we describe methods for addressing multiplicity issues arising in the analysis of clin...
This article deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MC...
This paper deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MCPs...
In multiple testing, strong control of the familywise error rate (FWER) may be unnecessarily stringe...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
We consider the class of all multiple testing methods controlling tail probabilities of the false di...
In this article, we introduce a novel procedure for improving power of multiple testing procedures (...
In applications of clinical trials, the hypotheses to be tested often exhibit a hierarchical structu...
In multiple hypotheses testing, it is important to control the probability of rejecting true null ...