3 papers
stat.ME2025
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…
stat.ME2024
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…
stat.ME2023
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…