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. Author manuscript; available in PMC: 2013 Sep 1.
Published in final edited form as: Contemp Clin Trials. 2012 May 22;33(5):869–880. doi: 10.1016/j.cct.2012.05.004

Table 3.

Results of different ICC estimation methods: Colon data set

Study arm Estimation method ρ̂ SE(ρ̂ ) Wald 95% CI Linear 95% CI
Overall ANOVA 0.037 0.051 (−0.072, 0.128) (−0.063,0.137)
Fleiss-Cuzick 0.036 0.044 (−0.044, 0.126) (−0.050,0.122)
Pearson 0.037 0.042 (−0.029, 0.133) (−0.045,0.119)
GEE model 0.033 0.024 -- (−0.014,0.080)
Random intercept logistic model 0.042 0.053 -- --
Intervention ANOVA 0.029 0.063 (−0.127, 0.124) (−0.094,0.152)
Fleiss-Cuzick 0.028 0.060 (−0.079, 0.153) (−0.090,0.146)
Pearson 0.020 0.056 (−0.066, 0.152) (−0.090,0.130)
GEE model 0.020 0.034 -- (−0.047,0.087)
Random intercept logistic model 0.027 0.074 -- --
Control ANOVA 0.022 0.086 (−0.138, 0.188) (−0.147,0.191)
Fleiss-Cuzick 0.020 0.064 (−0.090, 0.157) (−0.105,0.145)
Pearson 0.043 0.062 (−0.038, 0.201) (−0.079,0.165)
GEE model 0.046 0.034 -- (−0.021,0.113)
Random intercept logistic model 0.057 0.077 -- --