Skip to main content

Table 6 Well-approximated type I error rates and power with weak informative prior for variance of BHM

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

   

Subpopulation j

Scenario

Method

\(\tilde{\sigma }^2\)

1

2

3

4

1

BHM-weak

\(\tilde{\sigma }^2 = 25\)

1%

1%

1%

1%

\(\tilde{\sigma }^2 = 50\)

1%

1%

1%

1%

BHM-strong

\(\tilde{\sigma }^2 = 25\)

1%

1%

2%

1%

\(\tilde{\sigma }^2 = 50\)

1%

1%

2%

1%

2

BHM-weak

\(\tilde{\sigma }^2 = 25\)

1%

1%

1%

66%

\(\tilde{\sigma }^2 = 50\)

0%

1%

1%

66%

BHM-strong

\(\tilde{\sigma }^2 = 25\)

2%

4%

5%

70%

\(\tilde{\sigma }^2 = 50\)

2%

3%

4%

71%

3

BHM-weak

\(\tilde{\sigma }^2 = 25\)

1%

1%

73%

67%

\(\tilde{\sigma }^2 = 50\)

1%

1%

72%

67%

BHM-strong

\(\tilde{\sigma }^2 = 25\)

6%

8%

85%

78%

\(\tilde{\sigma }^2 = 50\)

6%

8%

85%

78%

4

BHM-weak

\(\tilde{\sigma }^2 = 25\)

1%

71%

74%

68%

\(\tilde{\sigma }^2 = 50\)

1%

71%

74%

67%

BHM-strong

\(\tilde{\sigma }^2 = 25\)

15%

87%

93%

87%

\(\tilde{\sigma }^2 = 50\)

15%

87%

92%

87%

5

BHM-weak

\(\tilde{\sigma }^2 = 25\)

72%

71%

75%

69%

\(\tilde{\sigma }^2 = 50\)

72%

71%

74%

68%

BHM-strong

\(\tilde{\sigma }^2 = 25\)

93%

93%

96%

92%

\(\tilde{\sigma }^2 = 50\)

93%

92%

96%

92%

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