A general multistage (stepwise) procedure is proposed for dealing with arbitrary gatekeeping problems including parallel and serial gate-keeping. The procedure is very simple to implement since it does not require the application of the closed testing principle and the conse-quent need to test all nonempty intersections of hypotheses. It is based on the idea of carrying forward the Type I error rate for any rejected hypotheses to test hypotheses in the next ordered family. This requires the use of a so-called separable multiple test procedure (MTP) in the earlier family. The Bonferroni MTP is separable, but other standard MTPs such as Holm, Hochberg, fallback and Dunnett are not. Their truncated versions are proposed which are separable and...
Statistical discoveries are often obtained through multiple hypothesis testing. A variety of procedu...
We are concerned with a situation in which we would like to test multiple hypotheses with tests whos...
Statistical analyses often involve testing multiple hypotheses that are naturally grouped into a fix...
Conventional multiple hypothesis tests use step-up, step-down, or closed testing methods to control ...
The field of multiple hypothesis testing has traditionally focused on defining and estimating vari...
Over the last two decades, a large variety of type I error rates and control procedures have been pr...
ABSTRACT. We present a unifying approach to multiple testing procedures for sequential (or streaming...
Consider testing multiple hypotheses using tests that can only be evaluated by simulation, such as p...
In this paper we describe methods for addressing multiplicity issues arising in the analysis of clin...
This paper deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MCPs...
The proposed testing methodology is illustrated using a clinical trial with multiple endpoints (prim...
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...
In applications of clinical trials, the hypotheses to be tested often exhibit a hierarchical structu...
In applications of clinical trials, the hypotheses to be tested often exhibit a hierarchical structu...
Statistical discoveries are often obtained through multiple hypothesis testing. A variety of procedu...
We are concerned with a situation in which we would like to test multiple hypotheses with tests whos...
Statistical analyses often involve testing multiple hypotheses that are naturally grouped into a fix...
Conventional multiple hypothesis tests use step-up, step-down, or closed testing methods to control ...
The field of multiple hypothesis testing has traditionally focused on defining and estimating vari...
Over the last two decades, a large variety of type I error rates and control procedures have been pr...
ABSTRACT. We present a unifying approach to multiple testing procedures for sequential (or streaming...
Consider testing multiple hypotheses using tests that can only be evaluated by simulation, such as p...
In this paper we describe methods for addressing multiplicity issues arising in the analysis of clin...
This paper deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MCPs...
The proposed testing methodology is illustrated using a clinical trial with multiple endpoints (prim...
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...
In applications of clinical trials, the hypotheses to be tested often exhibit a hierarchical structu...
In applications of clinical trials, the hypotheses to be tested often exhibit a hierarchical structu...
Statistical discoveries are often obtained through multiple hypothesis testing. A variety of procedu...
We are concerned with a situation in which we would like to test multiple hypotheses with tests whos...
Statistical analyses often involve testing multiple hypotheses that are naturally grouped into a fix...