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Original Research

Accelerate vaccine development using seamless phase 2/3 trial designs

, &
Pages 523-534 | Received 14 Dec 2023, Accepted 24 Apr 2024, Published online: 07 May 2024

Figures & data

Figure 1. Design flow chart.

*The conditional power is calculated based on information from the phase 2 stage.
The test statistic is calculated based on information from phase 2 and phase 3A stages.
Figure 1. Design flow chart.

Figure 2. Performance of seamless design compared to conventional design for case 1 in terms of (a) Overall power, (b) Average sample size and (c) Trial duration when the null hypothesis is false.

r, the ratio of simulated post-vaccination immunogenicity response values of the high dose group to the real values derived from the 9-valent HPV trial, r = Exp(μsim)/Exp(μreal).
Figure 2. Performance of seamless design compared to conventional design for case 1 in terms of (a) Overall power, (b) Average sample size and (c) Trial duration when the null hypothesis is false.

Figure 3. Performance of seamless design for Case 1 in terms of (a) Early stop percentages, (b) Correct dose selection when the null hypothesis is false.

r, the ratio of simulated post-vaccination immunogenicity response values of the high dose group to the real values derived from the 9-valent HPV trial, r = Exp(μsim)/Exp(μreal).
Figure 3. Performance of seamless design for Case 1 in terms of (a) Early stop percentages, (b) Correct dose selection when the null hypothesis is false.

Figure 4. Performance of seamless design compared to conventional design for Case 2 in terms of (a) Overall power, (b) Average sample size and (c) trial duration when the null hypothesis is false.

r, the ratio of simulated post-vaccination immunogenicity response values of the high dose group to the real values derived from the 9-valent HPV trial, r = Exp(μsim)/Exp(μreal).
Figure 4. Performance of seamless design compared to conventional design for Case 2 in terms of (a) Overall power, (b) Average sample size and (c) trial duration when the null hypothesis is false.

Figure 5. Performance of seamless design for Case 2 in terms of (a) Early stop percentages, (b) Correct dose selection when the null hypothesis is false.

r, the ratio of simulated post-vaccination immunogenicity response values of the high dose group to the real values derived from the 9-valent HPV trial, r = Exp(μsim)/Exp(μreal).
Figure 5. Performance of seamless design for Case 2 in terms of (a) Early stop percentages, (b) Correct dose selection when the null hypothesis is false.

Figure 6. Performance of seamless design compared to conventional design for case 3 in terms of (a) Overall power, (b) Average sample size, (c) Trial duration and (d) Early stop percentages when the null hypothesis is false.

r, the ratio of simulated post-vaccination immunogenicity response values of the high dose group to the real values derived from the 9-valent HPV trial, r = Exp(μsim)/Exp(μreal).
Figure 6. Performance of seamless design compared to conventional design for case 3 in terms of (a) Overall power, (b) Average sample size, (c) Trial duration and (d) Early stop percentages when the null hypothesis is false.

Table 1. Performance of seamless and conventional designs for Case 1 when the null hypothesis is true.

Table 2. Performance of seamless and conventional designs for Case 2 when the null hypothesis is true.

Table 3. Performance of two-stage and conventional designs for Case 3 when the null hypothesis is true.

Supplemental material

Supplemental Material

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