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Table 2 Operating characteristics for the proposed Bayesian sequential designs for the OSCAR triala

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

Design

Scenario: control vs HFOV primary outcome rate

Average duration (weeks)

Average sample size (SD)

Proportion stopped early for success

Overall Proportion Successful b

Proportion stopped early for futility

Design 1: Fixed design

No difference: 45% vs 45%

196

1006 (0)

NA

0.0283

NA

Target difference: 45% vs 36%

196

1006 (0)

NA

0.8219

NA

Small difference: 45% vs 40%

196

1006 (0)

NA

0.3503

NA

Large difference: 45% vs 30%

196

1006 (0)

NA

0.9979

NA

Treatment harmful: 45% vs 50%

196

1006 (0)

NA

0.0003

NA

Design 2: Interim analysis at 250, 500 and 750 patients

No difference: 45% vs 45%

103

519 (236)

0.0123

0.0268

0.8956

Target difference: 45% vs 36%

145

730 (227)

0.5319

0.7793

0.1434

Small difference: 45% vs 40%

141

719 (260)

0.1607

0.3302

0.4828

Large difference: 45% vs 30%

114

560 (127)

0.9592

0.9932

0.0058

Treatment harmful: 45% vs 50%

75

367 (155)

0.0004

0.0004

0.9949

Design 3: Interim analysis at 335 and 670 patients

No difference: 45% vs 45%

130

664 (207)

0.0070

0.0264

0.8123

Target difference: 45% vs 36%

163

828 (179)

0.4314

0.8079

0.0829

Small difference: 45% vs 40%

161

825 (207)

0.1151

0.3431

0.3593

Large difference: 45% vs 30%

139

696 (90)

0.9214

0.9971

0.0019

Treatment harmful: 45% vs 50%

109

555 (170)

0.0000

0.0005

0.9841

Design 4: Interim analysis at 335, 500 and 670 patients

No difference: 45% vs 45%

112

564 (202)

0.0087

0.0229

0.8578

Target difference: 45% vs 36%

147

741 (230)

0.4723

0.7873

0.1227

Small difference: 45% vs 40%

146

742 (242)

0.1362

0.3334

0.4371

Large difference: 45% vs 30%

114

557 (131)

0.9334

0.9958

0.0033

Treatment harmful: 45% vs 50%

91

454 (108)

0.0002

0.0003

0.9895

Design 5: Interim analysis at 503 and 755 patients

No difference: 45% vs 45%

138

712 (158)

0.0099

0.0249

0.8637

Target difference: 45% vs 36%

160

812 (176)

0.5237

0.813

0.0922

Small difference: 45% vs 40%

163

834 (174)

0.1501

0.3426

0.4062

Large difference: 45% vs 30%

134

667 (139)

0.9596

0.9968

0.0015

Treatment harmful: 45% vs 50%

126

645 (129)

0.0002

0.0005

0.9915

Design 6: Interim analysis at 503, 755 and 880 patients

No difference: 45% vs 45%

136

702 (143)

0.0130

0.0270

0.9381

Target difference: 45% vs 36%

158

792 (159)

0.6320

0.7990

0.1415

Small difference: 45% vs 40%

158

810 (156)

0.2035

0.3376

0.5420

Large difference: 45% vs 30%

134

664 (132)

0.9847

0.9966

0.0027

Treatment harmful: 45% vs 50%

127

644 (127)

0.0002

0.0005

0.9972

  1. aThe “proportions” in columns 5–7 refer to the proportion of the 10, 000 simulated trials for each scenario, and the averages and standard deviations (SD) are over the 10, 000 simulated trials. bThe one-sided simulated type I error is italicised; the power is boldfaced and italicised