4 papers
A Bayesian Treatment Selection Design for Phase II Randomised Cancer Clinical Trials
Moka Komaki, Satoru Shinoda, Haiyan Zheng +1
It is crucial to design Phase II cancer clinical trials that balance the efficiency of treatment selection with clinical practicality. Sargent and Goldberg proposed a frequentist d…
Optimal Bayesian predictive probability for delayed response in single-arm clinical trials with binary efficacy outcome
Takuya Yoshimoto, Satoru Shinoda, Kouji Yamamoto +1
In oncology, phase II or multiple expansion cohort trials are crucial for clinical development plans. This is because they aid in identifying potent agents with sufficient activity…
Visualizing departures from marginal homogeneity for square contingency tables with ordered categories
Satoru Shinoda, Takuya Yoshimoto, Kouji Tahata
Square contingency tables are a special case commonly used in various fields to analyze categorical data. Although several analysis methods have been developed to examine marginal…
Bayesian predictive probability based on a bivariate index vector for single-arm phase II study with binary efficacy and safety endpoints
Takuya Yoshimoto, Satoru Shinoda, Kouji Yamamoto +1
In oncology, phase II studies are crucial for clinical development plans as such studies identify potent agents with sufficient activity to continue development in the subsequent p…