Abstract: In controlled group sequential trials, we consider the ratio of normal means as the effect measure of interest and derive group sequential nested confidence intervals on this parameter. In an interim analysis, the sample sizes of the following stages can be determined in a completely adaptive way using the unblinded data from all previously performed stages. Despite the data-dependent adaptation, the nested confidence intervals always keep the predefined confidence coefficient. Using nested confidence intervals, we make test decisions either in noninferiority or in superiority trials. However, in an interim analysis, we can change the planning from showing noninferiority to showing superiority or vice versa without affecting the p...
The work of Fisher1 and Buehler2 discuss the importance of con-ditioning on recognizable subsets of ...
This book provides an up-to-date review of the general principles of and techniques for confirmatory...
Sequential methods provide a formal framework by which clinical trial data can be monitored as they ...
In controlled group sequential trials, we consider the ratio of normal means as the effect measure ...
Abstract: In a thorough and extensive simulation study, we investigate the practical properties of r...
Abstract: For studies comparing three independent arms: test group T, reference group R, and control...
In all empirical or experimental sciences, it is a standard approach to present results, additionall...
A new ordering scheme for defining quantiles of the multivariate distribution of a stopping time and...
In a thorough and extensive simulation study, we investigate the practical properties of repeated c...
For studies comparing three independent arms: test group $T$, reference group $R$, and control grou...
In self-designing clinical trials, confidence intervals are derived for the difference and the rati...
Sequential methods were used to solve testing problems more efficiently. But at the same time, they ...
Sequential methods were used to solve testing problems more efficiently. But at the same time, they ...
In this paper, we consider the construction of confidence intervals for a secondary variable after a...
© 2018 Elsevier B.V. A popular setting in medical statistics is a group sequential trial with indepe...
The work of Fisher1 and Buehler2 discuss the importance of con-ditioning on recognizable subsets of ...
This book provides an up-to-date review of the general principles of and techniques for confirmatory...
Sequential methods provide a formal framework by which clinical trial data can be monitored as they ...
In controlled group sequential trials, we consider the ratio of normal means as the effect measure ...
Abstract: In a thorough and extensive simulation study, we investigate the practical properties of r...
Abstract: For studies comparing three independent arms: test group T, reference group R, and control...
In all empirical or experimental sciences, it is a standard approach to present results, additionall...
A new ordering scheme for defining quantiles of the multivariate distribution of a stopping time and...
In a thorough and extensive simulation study, we investigate the practical properties of repeated c...
For studies comparing three independent arms: test group $T$, reference group $R$, and control grou...
In self-designing clinical trials, confidence intervals are derived for the difference and the rati...
Sequential methods were used to solve testing problems more efficiently. But at the same time, they ...
Sequential methods were used to solve testing problems more efficiently. But at the same time, they ...
In this paper, we consider the construction of confidence intervals for a secondary variable after a...
© 2018 Elsevier B.V. A popular setting in medical statistics is a group sequential trial with indepe...
The work of Fisher1 and Buehler2 discuss the importance of con-ditioning on recognizable subsets of ...
This book provides an up-to-date review of the general principles of and techniques for confirmatory...
Sequential methods provide a formal framework by which clinical trial data can be monitored as they ...