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Table 3 Simulation method 3a.. Estimates (percent bias) of effect (difference at the fourth time point) and variance components, where k = number of clusters per arm and m = cluster size

From: The mixed model for repeated measures for cluster randomized trials: a simulation study investigating bias and type I error with missing continuous data

k

m

ICC = 0.01

ICC = 0.1

effect = 5

\( {\sigma}_c^2=0.71 \)

\( {\sigma}_w^2=39 \)

\( {\sigma}_b^2=60 \)

effect = 5

\( {\sigma}_c^2=7.14 \)

\( {\sigma}_w^2=30 \)

\( {\sigma}_b^2=60 \)

5

10

5.03 (0.6)

2.0 (186.0)

39.6 (1.6)

58.9 (− 1.8)

4.99 (− 0.1)

8.2 (15.1)

32.4 (7.9)

59.7 (− 0.5)

20

5.00 (0.1)

1.3 (76.6)

39.3 (0.7)

59.4 (− 1.0)

4.97 (− 0.6)

7.8 (9.0)

32.2 (7.4)

59.7 (− 0.5)

50

4.95 (− 1.1)

0.8 (18.0)

39.2 (0.5)

60.0 (− 0.1)

4.97 (− 0.5)

8.0 (11.8)

32.3 (7.6)

59.5 (− 0.8)

10

10

5.03 (0.6)

1.7 (132.2)

39.2 (0.5)

59.1 (− 1.4)

4.98 (− 0.5)

8.0 (12.5)

32.7 (8.9)

58.9 (− 1.8)

20

5.03 (0.5)

1.0 (43.7)

39.3 (0.7)

59.7 (− 0.5)

4.93 (− 1.4)

7.8 (9.2)

32.5 (8.4)

59.2 (− 1.4)

50

4.96 (− 0.7)

0.8 (17.5)

39.3 (0.7)

59.7 (− 0.4)

5.12 (2.4)

7.8 (8.9)

32.5 (8.4)

59.3 (− 1.1)

20

10

4.98 (− 0.4)

1.2 (72.9)

39.3 (0.8)

59.5 (− 0.8)

5.04 (0.8)

7.8 (9.7)

32.8 (9.2)

59.5 (− 0.8)

20

5.00 (0.0)

0.9 (26.5)

39.3 (0.8)

59.9 (− 0.2)

5.03 (0.6)

7.8 (9.2)

32.7 (9.0)

59.4 (− 1.1)

50

5.01 (0.1)

0.8 (11.2)

39.3 (0.7)

60.0 (− 0.1)

4.95 (− 1.0)

7.9 (10.4)

32.7 (9.1)

59.4 (− 1.0)

50

10

5.00 (0.1)

0.9 (28.1)

39.3 (0.8)

59.7 (− 0.6)

4.98 (− 0.5)

7.8 (9.8)

32.8 (9.2)

59.3 (− 1.1)

20

4.98 (− 0.5)

0.8 (10.1)

39.2 (0.6)

59.9 (− 0.1)

5.02 (0.4)

7.9 (10.5)

32.8 (9.4)

59.4 (− 1.1)

  1. aRandom effect for subject, cluster, and cluster slope
  2. ICC intracluster correlation