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Convergence was assessed by comparison of the two runs, while the adequacy of mixing was investigated by checking whether the effective sample sizes of parameters exceeded 200.
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In addition, word recall, verbal fluency, and numeracy were measured on different scales and this makes direct comparisons between the effect sizes of parameter estimates for the association between oral health markers and various cognitive outcome measures difficult.
Multiple subsequent runs of each dataset were then performed and effective sample size of parameters (ESS) and trend plots examined to assure proper mixing and convergence.
At least five independent runs of each data set were performed and effective sample size of parameters (ESS) and trend plots examined to assure proper mixing and convergence.
We assessed the effective sample sizes (ESS) of parameters of interest to ensure sample sizes were all above 200.
The effective sample sizes (ESS) of parameters of interest (gene trees, species tree, root age) were all above 200.
The effective sample sizes (ESS) of parameters sampled from the MCMC were > 500 (acceptable ESS is >200).
Sensitivity of the new filter to the size of parameter uncertainty, in terms of the variance of parameter perturbations, is also considered.
The process is controlled by the size of parameter Lambda.
This restriction is necessary to keep the size of parameter tables for the P values calculations manageable.
Quantitative sex differences, are tested by estimating the size of parameter estimates for the genders ('the common effects sex limitation model').
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