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Table 1 Candidate Bayesian sequential designs generated for OSCAR

From: Using Bayesian adaptive designs to improve phase III trials: a respiratory care example

Design

Interim

Timing of interim (information fraction)a

Can stop for success

Can stop for futility

Success stopping boundariesb

Futility stopping boundariesc

1

NA (fixed design)

NA

NA

NA

NA

NA

2

1

250 (1/4)

No

Yes

NA

F1 = 0.05

2

500 (1/2)

Yes

Yes

S2 = 0.99

F2 = 0.1

3

750 (3/4)

Yes

Yes

S3 = 0.98

F3 = 0.15

3

1

335 (1/3)

No

Yes

NA

F1 = 0.05

2

670 (2/3)

Yes

Yes

S2 = 0.99

F2 = 0.1

4

1

335 (1/3)

No

Yes

NA

F1 = 0.05

2

500 (1/2)

Yes

Yes

S2 = 0.99

F2 = 0.1

3

670 (2/3)

Yes

Yes

S3 = 0.98

F3 = 0.15

5

1

503 (1/2)

Yes

Yes

S1 = 0.99

F1 = 0.05

2

755 (3/4)

Yes

Yes

S2 = 0.98

F2 = 0.1

6

1

503 (1/2)

Yes

Yes

S1 = 0.99

F1 = 0.05

2

755 (3/4)

Yes

Yes

S2 = 0.98

F2 = 0.1

3

880 (7/8)

Yes

Yes

S3 = 0.98

F3 = 0.15

  1. aThe timing of the interims was based on the number of patients recruited
  2. bSi is the stopping boundary for success at the i-th interim analysis. c Fi is the stopping boundary for futility at the i-th interim analysis. The stopping boundaries are described in the “Decision criteria” section