scholarly journals A Bayesian adaptive design for clinical trials in rare diseases

2017 ◽  
Vol 113 ◽  
pp. 136-153 ◽  
Author(s):  
S. Faye Williamson ◽  
Peter Jacko ◽  
Sofía S. Villar ◽  
Thomas Jaki
2009 ◽  
Vol 15 (4) ◽  
pp. 468-492 ◽  
Author(s):  
Uttam Bandyopadhyay ◽  
Atanu Biswas ◽  
Rahul Bhattacharya

2016 ◽  
Vol 6 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Mourad Tighiouart ◽  
Quanlin Li ◽  
Steven Piantadosi ◽  
Andre Rogatko

2021 ◽  
Author(s):  
Stephen L. Lake ◽  
Melanie A. Quintana ◽  
Kristine Broglio ◽  
Jennifer Panagoulias ◽  
Scott M. Berry ◽  
...  

2020 ◽  
Vol 93 (4) ◽  
pp. 267.e1-267.e9
Author(s):  
Rafael Dal-Ré ◽  
Francesc Palau ◽  
Encarna Guillén-Navarro ◽  
Carmen Ayuso

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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