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The values used for this simulation were the ones estimated for the nuclear loci analyzed in this study: we used a θ value of 3.66, the mutation rate calculated for the RAG2 gene (1.94 × 10-9 substitutions per site per year) and estimated the same number of chromosomes sampled for the actual data (24 for AMC, 50 for SAF and 62 for NAF).
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We repeat the estimation structure used for our first outcome variable and estimate the same set of ZIP models than before.
SRE1 and SRE2 estimated the same number parameters, but COL estimated 7854 more parameters.
A fixed effects model was adopted on the assumption that study samples were drawn from the same population and therefore estimated the same effect size.
For the simulated CPN60 datasets as well as the EF dataset, the RAS and covarion models estimated the same optimal topologies; for the Microsporidia data they differ.
B = Students and facilitators items estimated the same aspect but for themselves (for example tutor's workload versus student's workload) making comparison with Mann-Whitney's test possible.
The next step is to calculate the one-third octave band spectrum for each acoustic roughness record (amplitude of the acoustic roughness expressed as a function of the wavelength λ), and, finally, estimate the same spectrum in dB.
For a continuous outcome, the fit from a linear regression mixed model and GEE estimate the same population quantities (regression coefficients), but for a binary outcome a logistic regression mixed model and GEE estimate different quantities [ 1].
We checked this assumption by conventional pairwise meta-analyses and by removing the constraint that direct and indirect evidence estimate the same effect.
This assumption of "consistency" 17 underpins the validity of a network meta-analysis and is akin to an assumption that the direct and indirect evidence estimate the same underlying treatment effect variable.
53 Overall, the collaboration of 2 groups with different modeling approaches and structures to estimate the same end points by using common data provides a reasonable range of expected results.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com