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The probability of detection and the location error with various sizes of likelihood ratio areas on System 2 are given in Figures 8 and 9, respectively.
Unfortunately, according to the rules of thumb by Jaeschke in interpreting sizes of likelihood ratios, our positive likelihood ratio for NT-proBNP provides only weak evidence for KD diagnosis.
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The simulations on different size of likelihood ratio areas are given in Section 4.2.
Here, we emphasize the results for different size of likelihood ratio areas.
The number of blocks is equal to the number of particles and the size of threads is equal to the size of likelihood ratio area cells.
From algorithm aspect, Torstensson and Trieb [19] have made a research on different size of likelihood ratio areas in radar application.
To our consideration, in the GPU-implemented PFTBD, the size of likelihood areas should be adjusted not only by the application scenario, but also by the amount of share memory on specified hardware.
Mean, standard error, highest posterior density intervals (95%HPD) and effective sample size of likelihood, evolutionary rates and the TMRCA of Carabus were inspected using Tracer 1.5.
For moderate to large sample sizes, the use of likelihood equations by setting (beta = {tilde beta }_{2}) (i.e., Method 2) is recommended.
We verified the convergence of runs by examining the effective sample size of the likelihood and posterior probability parameters for each analysis (>100 parameters) and by visually inspecting the likelihood and posterior probability distributions across independent runs.
Under the null, the size of the likelihood ratio and Wald tests were close to nominal, but the area test was extremely conservative, with test sizes less than 0.006 for all configurations studied.
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