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Table 5 Control ICC = 0.1, 24 clusters of size 25 per arm.

From: Use of the bootstrap in analysing cost data from cluster randomised trials: some simulation results

How does the ICC change as a result of the intervention?

Between-cluster distribution combination1

Rejection Rate (%)2

   

Huber-White

Single Bootstrap

Double Bootstrap

   

Lower

Upper

Lower

Upper

Lower

Upper

No change

-

N, N

2.70

2.72

3.25

3.34

3.00

3.16

  

LN, LN

2.47

2.38

4.95

4.92

4.53

4.47

  

N, LN

1.48

3.64

3.23

4.04

2.85

4.05

Double

N, N

2.66

2.53

3.12

3.19

2.85

3.13

  

LN, LN

2.28

2.36

4.99

5.07

4.60

4.63

  

N, LN

1.59

3.70

3.49

4.25

3.04

4.25

 

N, N

2.43

2.77

2.94

3.38

2.71

3.05

  

LN, LN

1.42

3.90

4.45

5.94

3.99

5.49

  

N, LN

1.10

4.97

3.38

5.00

2.91

4.95

Halve

N, N

2.38

2.72

3.17

3.30

3.18

3.03

  

LN, LN

2.25

2.50

4.48

4.61

4.15

4.14

  

N, LN

1.65

3.77

3.47

4.02

3.10

3.89

 

N, N

2.73

2.48

3.33

3.16

3.10

3.09

  

LN, LN

3.34

1.69

5.26

4.06

4.91

3.64

  

N, LN

2.20

2.95

3.61

3.56

3.17

3.49

  1. 1 Control arm is first, followed by intervention arm. N, N denotes normal distribution in both arms; LN, LN denotes lognormal distribution in both arms; N, LN denotes normal distribution in control arm and lognormal distribution in intervention arm
  2. 2 Entries in bold indicate where double bootstrap method achieved rejection rate closer to nominal 2.5% than Huber-White method.