scholarly journals Bayesian evaluation of group sequential clinical trial designs

2007 ◽  
Vol 26 (7) ◽  
pp. 1431-1449 ◽  
Author(s):  
Scott S. Emerson ◽  
John M. Kittelson ◽  
Daniel L. Gillen
2016 ◽  
Vol 27 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Toshimitsu Ochiai ◽  
Toshimitsu Hamasaki ◽  
Scott R. Evans ◽  
Koko Asakura ◽  
Yuko Ohno

Author(s):  
Michael J. Grayling ◽  
James M. S. Wason ◽  
Adrian P. Mander

In a group sequential clinical trial, accumulated data are analyzed at numerous time points to allow early decisions about a hypothesis of interest. These designs have historically been recommended for their ethical, administrative, and economic benefits. In this article, we first discuss a collection of new commands for computing the stopping boundaries and required group size of various classical group sequential designs, assuming a normally distributed outcome variable. Then, we demonstrate how the performance of several designs can be compared graphically.


2007 ◽  
Vol 26 (28) ◽  
pp. 5047-5080 ◽  
Author(s):  
Scott S. Emerson ◽  
John M. Kittelson ◽  
Daniel L. Gillen

2013 ◽  
Vol 8 (5) ◽  
pp. 437-442 ◽  
Author(s):  
Zoe Moodie ◽  
Holly Janes ◽  
Yunda Huang

2021 ◽  
Vol 16 ◽  
Author(s):  
Erica Winter ◽  
Scott Schliebner

: Characterized by small, highly heterogeneous patient populations, rare disease trials magnify the challenges often encountered in traditional clinical trials. In recent years, there have been increased efforts by stakeholders to improve drug development in rare diseases through novel approaches to clinical trial designs and statistical analyses. We highlight and discuss some of the current and emerging approaches aimed at overcoming challenges in rare disease clinical trials, with a focus on the ultimate stakeholder, the patient.


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