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Research Articles

Modified Simon’s Two-Stage Design for Phase IIA Clinical Trials in Oncology—Dynamic Monitoring and More Flexibility

ORCID Icon, & ORCID Icon
Pages 838-844 | Received 09 May 2022, Accepted 25 Jan 2023, Published online: 10 Mar 2023

Figures & data

Fig. 1 Dynamic Data Monitoring (DDM) system radar screen displays. Use the conditional power under the alternative hypothesis 0.05CPa<0.90 to define the hopeful (and other two) regions. The red dotted line is for CPa=0.5. Illustrations with data generated (the orange dotted line) when the true response rates are p0, p1, and p¯=p0+p12, respectively, as indicated in the figure title.

Fig. 1 Dynamic Data Monitoring (DDM) system radar screen displays. Use the conditional power under the alternative hypothesis 0.05≤CPa<0.90 to define the hopeful (and other two) regions. The red dotted line is for CPa=0.5. Illustrations with data generated (the orange dotted line) when the true response rates are p0, p1, and p¯=p0+p12, respectively, as indicated in the figure title.

Fig. 2 Dynamic Data Monitoring (DDM) system radar screen displays. Use the conditional power under the current trend 0.05CPc<0.90 to define the hopeful (and other two) regions. The red dotted line is for CPc=0.5. Illustrations with data generated (the orange dotted line) when the true response rates are p0,p1, and p¯=p0+p12, respectively, as indicated in the figure title.

Fig. 2 Dynamic Data Monitoring (DDM) system radar screen displays. Use the conditional power under the current trend 0.05≤CPc<0.90 to define the hopeful (and other two) regions. The red dotted line is for CPc=0.5. Illustrations with data generated (the orange dotted line) when the true response rates are p0,p1, and p¯=p0+p12, respectively, as indicated in the figure title.