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Table 3 Parameter estimates following heterogeneous cluster merges: scenario 4 a

From: Changing cluster composition in cluster randomised controlled trials: design and analysis considerations

 

Number of cluster merges per treatment group

Empirical estimates

0

1

2

5

10

20

Assigned to control

      

Intercept, β0

0.001 (−0.003, 0.004)

0.003 (0.000, 0.007)

0.003 (0.000, 0.007)

0.007 (0.004, 0.011)

0.017 (0.013, 0.020)

0.035 (0.032, 0.0380)

Treatment effect, β1

0.201 (0.196, 0.205)

0.196 (0.191, 0.199)

0.196 (0.191, 0.201)

0.191 (0.186, 0.196)

0.184 (0.179, 0.189)

0.166 (0.159, 0.172)

σ b 2

0.050 (0.048, 0.051)

0.049 (0.048, 0.051)

0.049 (0.047, 0.0496)

0.046 (0.045, 0.047)

0.043 (0.042, 0.044)

0.034 (0.033, 0.036)

σ w 2

0.950 (0.948, 0.952)

0.951 (0.950, 0.953)

0.952 (0.950, 0.954)

0.957 (0.954, 0.959)

0.962 (0.959, 0.964)

0.971 (0.969, 0.974)

Intracluster correlation coefficient

0.050 (0.048, 0.051)

0.049 (0.048, 0.0499)

0.049 (0.047, 0.0494)

0.046 (0.044, 0.047)

0.042 (0.041, 0.044)

0.034 (0.033, 0.035)

Empirical power

81.2%

78.1%

78.3%

76.8%

72.1%

48.2%

Assigned to intervention

      

Intercept, β0

0.003 (<0.001, 0.007)

0.001 (−0.003, 0.004)

0.002 (−0.002, 0.006)

−0.002 (−0.006, 0.001)

0.001 (−0.004, 0.005)

−0.004 (−0.010, 0.002)

Treatment effect, β1

0.198 (0.193, 0.202)

0.195 (0.191, 0.1997)

0.194 (0.189, 0.199)

0.192 (0.187, 0.197)

0.179 (0.174, 0.184)

0.168 (0.162, 0.175)

σ b 2

0.049 (0.048, 0.051)

0.050 (0.048, 0.051)

0.048 (0.047, 0.0493)

0.047 (0.046, 0.049)

0.044 (0.042, 0.045)

0.034 (0.033, 0.035)

σ w 2

0.949 (0.947, 0.951)

0.951 (0.949, 0.953)

0.953 (0.951, 0.955)

0.956 (0.954, 0.958)

0.963 (0.961, 0.965)

0.973 (0.971, 0.976)

Intracluster correlation coefficient

0.049 (0.048, 0.050)

0.049 (0.048, 0.051)

0.048 (0.047, 0.049)

0.047 (0.046, 0.048)

0.043 (0.042, 0.044)

0.033 (0.032, 0.035)

Empirical power

81.0%

79.7%

77.3%

75.8%

67.2%

50.7%

Completers only

      

Intercept, β0

−0.000 (−0.004, 0.003)

0.004 (0.000, 0.007)

0.001 (−0.003, 0.005)

−0.000 (−0.004, 0.003)

0.001 (−0.002, 0.005)

−0.000 (−0.004, 0.003)

Treatment effect, β1

0.200 (0.195, 0.205)

0.195 (0.190, 0.1991)

0.198 (0.193, 0.203)

0.199 (0.194, 0.204)

0.198 (0.193, 0.203)

0.200 (0.194, 0.205)

σ b 2

0.050 (0.049, 0.051)

0.050 (0.048, 0.051)

0.050 (0.049, 0.051)

0.051 (0.049, 0.052)

0.050 (0.049, 0.051)

0.050 (0.048, 0.051)

σ w 2

0.950 (0.948, 0.952)

0.952 (0.950, 0.954)

0.949 (0.947, 0.952)

0.950 (0.947, 0.952)

0.951 (0.948, 0.953)

0.948 (0.946, 0.951)

Intracluster correlation coefficient

0.050 (0.049, 0.051)

0.050 (0.048, 0.051)

0.050 (0.049, 0.051)

0.050 (0.049, 0.052)

0.050 (0.048, 0.051)

0.050 (0.048, 0.051)

Empirical power

82.3%

79.2%

79.6%

79.5%

77.1%

73.3%

  1. aIn scenario 4, 50% of patient outcomes are assumed to be unaffected by cluster merge, which is akin to 50% completing treatment prior to merge, with the remainder allocated treatment group mean based on postmerge treatment group allocation. Total of 80 clusters with 20 patients in each prior to cluster merges. Data are mean (95% confidence interval). σ b 2 is the between-cluster variance and σ w 2 is the within-cluster variance.