Exact(1)
We compared the powers of the likelihood ratio test (LRT) and the Pearson correlation test (CT) from empirical Bayes estimates (EBEs) for various designs and shrinkages in the context of nonlinear mixed-effect modeling.
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Column 10 gives the power of the likelihood ratio test of the null hypothesis that γ = 0.
Satorra and Saris developed a method for estimating the power of the likelihood ratio test for structural equation models.
Simulations were conducted to test the power of the likelihood ratio test, the Wald test and a comparison of areas-under-the-curves.
For each model, we calculated the power of the likelihood ratio test to detect the effects in the model (see Saris and Satorra 1993; Satorra and Saris 1985).
However, as previously discussed, this is expected given that the power of the likelihood ratio test is greatly decreased when using shorter sequences (Anisimova et al., 2001).
The estimated power of the likelihood ratio test (the proportion of times the test rejects the null hypothesis of no hybridization) is shown in the far right column of Table 1.
A third issue is related to the use of partial genes, which may have reduced the power of the likelihood ratio tests as a result of an insufficient number of informative sites.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com