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. Author manuscript; available in PMC: 2013 Nov 21.
Published in final edited form as: J Biom Biostat. 2012 Mar 23;3(2):5726. doi: 10.4172/2155-6180.1000137

Table 5.

Result of 1000 simulations to evaluate the application of inference based on asymptotic theory to finite sample studies. (α0, α1) = (1.2, 0.45). Relative bias = bias / true value × 100%; SSE: sampling standard error; ASE: mean estimated standard error using asymptotic theory; CP: coverage of 95% Wald-confidence intervals using estimated asymptotic error.

Relative Bias SSE ASE CP
(nD, n) = (100, 100)
α0 2.4% 0.163 0.151 94.8%
α1 2.2% 0.085 0.083 95.4%
R(0.2) 0.4% 0.039 0.039 94.6%
R(0.4) 0.3% 0.032 0.031 93.4%
R(0.7) 0.1% 0.025 0.023 90.8%
(nD, n) = (100, 50)
α0 0.9% 0.159 0.157 95.0%
α1 2.9% 0.088 0.088 94.6%
R(0.2) −0.3% 0.041 0.042 94.6%
R(0.4) −0.1% 0.033 0.033 94.6%
R(0.7) −0.1% 0.025 0.024 93.8%
(nD, n) = (50, 100)
α0 1.1% 0.205 0.208 96.4%
α1 0.9% 0.101 0.113 97.2%
R(0.2) −0.2% 0.053 0.053 93.8%
R(0.4) −0.2% 0.041 0.043 94.4%
R(0.7) −0.3% 0.030 0.033 94.6%