We present a theoretical basis for testing related endpoints. Typically, it is known how to construct tests of the individual hypotheses, and the problem is how to combine them into a multiple test procedure that controls the familywise error rate. Using the closure method, we emphasize the role of consonant procedures, from an interpretive as well as a theoretical viewpoint. Suprisingly, even if each intersection test has an optimality property, the overall procedure obtained by applying closure to these tests may be inadmissible. We introduce a new procedure, which is consonant and has a maximin property under the normal model. The results are then applied to PROactive, a clinical trial designed to investigate the effectiveness of a gluco...
Statistical analyses often involve testing multiple hypotheses that are naturally grouped into a fix...
Summary. The Neyman–Pearson lemma provides a simple procedure for optimally testing a single hypothe...
2013-04-12There are many areas of scientific inquiry where it is desired to test multiple statistica...
We present a theoretical basis for testing related endpoints. Typically, it is known how to construc...
In the past century, several multiple testing procedures have been developed based on the closure pr...
The closed testing principle provides a general and simple framework to con-struct powerful multiple...
ABSTRACT. We present a unifying approach to multiple testing procedures for sequential (or streaming...
Title: Multiple Testing Problem Author: Oliver Waczulík Department: Department of Probability and Ma...
We consider seamless Phase II/III clinical trials which compare K treatments with a common control i...
We review and compare multiple hypothesis testing procedures used in clinical trials and those in ge...
The field of multiple hypothesis testing has traditionally focused on defining and estimating vari...
In this article, we introduce a novel procedure for improving power of multiple testing procedures (...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
The partial conjunction null hypothesis is tested in order to discover a signal that is present in m...
Significance testing is one of the main objectives of statistics. The Neyman-Pearson lemma provides ...
Statistical analyses often involve testing multiple hypotheses that are naturally grouped into a fix...
Summary. The Neyman–Pearson lemma provides a simple procedure for optimally testing a single hypothe...
2013-04-12There are many areas of scientific inquiry where it is desired to test multiple statistica...
We present a theoretical basis for testing related endpoints. Typically, it is known how to construc...
In the past century, several multiple testing procedures have been developed based on the closure pr...
The closed testing principle provides a general and simple framework to con-struct powerful multiple...
ABSTRACT. We present a unifying approach to multiple testing procedures for sequential (or streaming...
Title: Multiple Testing Problem Author: Oliver Waczulík Department: Department of Probability and Ma...
We consider seamless Phase II/III clinical trials which compare K treatments with a common control i...
We review and compare multiple hypothesis testing procedures used in clinical trials and those in ge...
The field of multiple hypothesis testing has traditionally focused on defining and estimating vari...
In this article, we introduce a novel procedure for improving power of multiple testing procedures (...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
The partial conjunction null hypothesis is tested in order to discover a signal that is present in m...
Significance testing is one of the main objectives of statistics. The Neyman-Pearson lemma provides ...
Statistical analyses often involve testing multiple hypotheses that are naturally grouped into a fix...
Summary. The Neyman–Pearson lemma provides a simple procedure for optimally testing a single hypothe...
2013-04-12There are many areas of scientific inquiry where it is desired to test multiple statistica...