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In model 1, the prevalence across age appeared to be linear for boys, whereas that for girls was similar to the trend line in model 2. On scrutiny, the fits appeared excellent.
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Visually, the fits appear to be comparable with the original study fits using a common set of kinetic parameters for all the data sets.
The fit appears quite poor.
The McConkie et al. model fit the data best, though the fit appears to result primarily from the functions used rather than from the architecture proposed.
Though the fit appears not to be very accurate, it can still be used to predict the trend of the rotavirus infection in Kenya.
Otherwise, the fit appears to capture other features of the data quite accurately.
The fit appears best within the middle range of killing (Fig. 3), and therefore the assay should be optimized (as in the traditional agar plate method) for a sample dilution that yields an average killing of approximately 50%.
However, when the influence of segregating variation is removed, this evaluation of the fit appears to deteriorate because levels of misspecification which were previously masked by the signal of segregating variation become more apparent.
The intersection of the two fits appears to be analogous to Stage II to III transition, which was confirmed by analysis of [1 1 1] and [1 0 0] single-crystal studies taken from the literature.
On scrutiny, the model fit appeared excellent.
In addition, the analyzed data in Figure 6 are rather scattered and many fits appear to be poor.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com