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When compared on the log scale, they were significantly different (t-test, p = 0.01).
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To obtain the adequate proportion estimates of site classes and their ω values, the selection model (M2) and discrete model (M3) were compared on the basis of their log-likelihood scores (l) estimated using codeml.
The models were fit to the data using least-squares fitting, and then the fits were compared on the basis of their maximum log likelihoods.
The frequency components (power spectrum) of a worm grunter and a digging mole are compared on a log scale in figure 6B.
The mass of compartmentalized functional annotations between in vivo and in silico data was compared on a log-log basis.
Survival curves were compared using the log rank test.
Survival curves were constructed based on the Kaplan-Meier method and compared with the Log-rank test.
In the strong covariate scenario, the regression coefficients took on the values log(2), log(2), log(5), log(5), and log(10) respectively.
The curves were compared with the log-rank test statistic.
Models were estimated using maximum log likelihood (ML), and compared on AIC-values and χ2-tests of the differences in log likelihoods.
Models were estimated using restricted maximum log likelihood (REML), and compared on AIC-values and χ2-tests of the differences in log likelihoods.
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