Testing multiple primary endpoints in clinical trials with sample size adaptation

2015 ◽  
Vol 15 (1) ◽  
pp. 37-45
Author(s):  
Yi Liu ◽  
Mingxiu Hu
2013 ◽  
Vol 34 (1) ◽  
pp. 35-52
Author(s):  
Takashi Sozu ◽  
Tomoyuki Sugimoto ◽  
Toshimitsu Hamasaki

2014 ◽  
Vol 33 (17) ◽  
pp. 2897-2913 ◽  
Author(s):  
Koko Asakura ◽  
Toshimitsu Hamasaki ◽  
Tomoyuki Sugimoto ◽  
Kenichi Hayashi ◽  
Scott R. Evans ◽  
...  

2014 ◽  
Vol 24 (2) ◽  
pp. 378-397 ◽  
Author(s):  
Pierre Lafaye de Micheaux ◽  
Benoit Liquet ◽  
Sébastien Marque ◽  
Jérémie Riou

Biometrics ◽  
2004 ◽  
Vol 60 (1) ◽  
pp. 134-145 ◽  
Author(s):  
Michael R. Kosorok ◽  
Shi Yuanjun ◽  
David L. DeMets

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0180405 ◽  
Author(s):  
Wong-Shian Huang ◽  
Hui-Nien Hung ◽  
Toshimitsu Hamasaki ◽  
Chin-Fu Hsiao

2021 ◽  
Vol 20 (4) ◽  
pp. 463-480
Author(s):  
Takuma Ishihara ◽  
Kouji Yamamoto

AbstractIn clinical trials, two or more binary responses obtained by dichotomizing continuous responses are often employed as multiple primary endpoints. Testing procedures for multiple binary variables with latent distribution have not yet been adequately discussed. Based on the association measure among latent variables, we provide a statistic for testing the superiority of at least one binary endpoint. In addition, we propose a testing procedure with a framework in which the trial efficacy is confirmed only when there is superiority of at least one endpoint and non-inferiority of the remaining endpoints. The performance of the proposed procedure is evaluated through simulations.


Author(s):  
Yang Zhao ◽  
Yongyue Wei ◽  
Sipeng Shen ◽  
Mingzhi Zhang ◽  
Feng Chen

ABSTRATCThe rapid emergence of clinical trials on COVID-19 stimulated a wave of discussion in scientific community. We reviewed the characteristics of interventional trials from Chinese Clinical Trial Registration (ChiCTR) and ClinicalTrials.gov. A total of 171 COVID-19-related interventional trials were identified on Feb 22nd, 2020. These trials are classified into 4 categories based on treatment modalities, including chemical drugs, biological therapies, traditional Chinese medicine treatments and other therapies. Our analysis focused on the issues of stage, design, randomization, blinding, primary endpoints definition and sample size of these trials. We found some studies with potential defects including unreasonable design, inappropriate primary endpoint definition, insufficient sample size and ethical issue. Clinical trials on COVID-19 should be designed based on scientific rules, ethics and benefits for patients.


2016 ◽  
Vol 26 (4) ◽  
pp. 631-643 ◽  
Author(s):  
Takashi Sozu ◽  
Tomoyuki Sugimoto ◽  
Toshimitsu Hamasaki

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