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Table 8 Well-approximated type I error rates and power with miss-specification of the prior distribution for \(p_0\)

From: Practical basket design for binary outcomes with control of family-wise error rate

   

Subpopulation j

Scenario

Method

\(p_0\)

1

2

3

4

1

Independent

Beta(0.1,0.9)

0%

0%

0%

0%

Beta(0.2,0.8)

0%

0%

0%

0%

BHM-weak

Beta(0.1,0.9)

0%

1%

1%

1%

Beta(0.2,0.8)

0%

1%

1%

1%

BHM-strong

Beta(0.1,0.9)

1%

1%

1%

1%

Beta(0.2,0.8)

1%

1%

1%

1%

2

Independent

Beta(0.1,0.9)

0%

0%

0%

54%

Beta(0.2,0.8)

0%

0%

0%

54%

BHM-weak

Beta(0.1,0.9)

1%

1%

1%

61%

Beta(0.2,0.8)

1%

1%

1%

62%

BHM-strong

Beta(0.1,0.9)

2%

3%

3%

65%

Beta(0.2,0.8)

2%

2%

3%

65%

3

Independent

Beta(0.1,0.9)

0%

0%

61%

54%

Beta(0.2,0.8)

0%

0%

61%

54%

BHM-weak

Beta(0.1,0.9)

1%

1%

72%

65%

Beta(0.2,0.8)

1%

1%

72%

65%

BHM-strong

Beta(0.1,0.9)

5%

7%

83%

76%

Beta(0.2,0.8)

5%

7%

83%

76%

4

Independent

Beta(0.1,0.9)

0%

57%

61%

53%

Beta(0.2,0.8)

0%

57%

61%

53%

BHM-weak

Beta(0.1,0.9)

1%

70%

76%

68%

Beta(0.2,0.8)

1%

70%

75%

68%

BHM-strong

Beta(0.1,0.9)

10%

85%

91%

84%

Beta(0.2,0.8)

10%

85%

91%

84%

5

Independent

Beta(0.1,0.9)

57%

57%

61%

53%

Beta(0.2,0.8)

57%

57%

61%

53%

BHM-weak

Beta(0.1,0.9)

75%

73%

78%

71%

Beta(0.2,0.8)

74%

73%

78%

71%

BHM-strong

Beta(0.1,0.9)

91%

90%

95%

90%

Beta(0.2,0.9)

91%

90%

95%

90%

  1. BHM Bayesian hierarchical models
  2. Type I error rates are shown in boldface; values not presented in bold indicate power