Value of Biomarker Expression for Randomized Clinical Trial Design: One (More) Missed Opportunity

2020 ◽  
Vol 38 (6) ◽  
pp. 649-651 ◽  
Author(s):  
Francisco E. Vera-Badillo ◽  
Andrew J. Robinson ◽  
David M. Berman ◽  
Christopher M. Booth
Medwave ◽  
2020 ◽  
Vol 20 (03) ◽  
pp. e7869-e7869
Author(s):  
Sebastián Estrada ◽  
Marcelo Arancibia ◽  
Jana Stojanova ◽  
Cristian Papuzinski

2020 ◽  
Vol 20 ◽  
pp. 100660
Author(s):  
Ida Babakhanyan ◽  
Melissa Jensen ◽  
Rosemay A. Remigio-Baker ◽  
Paul Sargent ◽  
Jason M. Bailie

2007 ◽  
Vol 25 (31) ◽  
pp. 5019-5023 ◽  
Author(s):  
Boris Freidlin ◽  
Edward L. Korn ◽  
Stephen L. George ◽  
Robert Gray

The randomized clinical trial (RCT) is the gold standard for definitive evaluation of new therapies. RCTs designed to show that the therapeutic efficacy of a new therapy is not unacceptably inferior to that of standard therapy are called noninferiority trials. Traditionally, noninferiority trials have required very large sample sizes. Sometimes, a new treatment regimen with a favorable toxicity and/or tolerability profile is also expected to have some modest improvement in efficacy. In such specialized settings we describe a hybrid trial-design approach that requires a dramatically smaller sample size than that of a standard noninferiority design. This hybrid design can naturally incorporate a formal test of superiority as well as noninferiority.


2018 ◽  
Vol 96 (6) ◽  
pp. 557-566 ◽  
Author(s):  
Boel Bengtsson ◽  
Anders Heijl ◽  
Gauti Johannesson ◽  
Sabina Andersson-Geimer ◽  
Johan Aspberg ◽  
...  

2018 ◽  
Vol 3 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Howard Trachtman ◽  
Debbie S. Gipson ◽  
Michael Somers ◽  
Cathie Spino ◽  
Sharon Adler ◽  
...  

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