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However, more than is widely appreciated, data do support the efficacy of the psychosocial treatments that should accompany pharmacotherapy.
Integration analysis of interplatform, genome-wide DNA methylation datasets with appreciated data normalization and batch effect elimination could provide optimal biomarker combinations in a large sample population to obtain maximum diagnosis efficiency.
Genome-based phylogenetic analysis of the RAH1 strain (ClonalFrame analysis [ 5 ]) and strains 809, BR-AD22, and 0102 indicates a much wider phylogenetic diversity of C. ulcerans strains than previously appreciated (data not shown).
1 2 3 4 5 7 Although not yet widely appreciated, data from randomised controlled trials usually provide an opportunity to develop models for the prediction of a treatment effect on the basis of individual patient characteristics. 1 5 Such models can enable clinicians to estimate a treatment effect for individual patients in terms of absolute risk reduction for the disease of interest.
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As readers who respect and appreciate data, you can also appreciate its absence, and what can (and cannot) be said as a result.
A model like the one depicted in Fig. 2 guides thinking about why ROC analysis is important, but once that point is appreciated, ROC data can be collected and analyzed in a purely empirical way (i.e., without embracing any theoretical assumptions).
Given that the contents of the present manuscript have employed methods already described in a previous article (Brouillet et al., Biology Direct 2010, 5 40 doi:10.1186/1745-6150-5-40), although with an expanded range of application, I would have appreciated experimental data testing the critical assumptions of the analysis.
One man who would have appreciated this data-intensive approach to record breaking was Neil Armstrong.
Finally, the Pearson correlation coefficient ρ is given in order to appreciate the data fitting [58].
We appreciate the data management work of Margaret Doyle and Katy Araujo.
But the most reasonable people on both sides of the aisle appreciate sound data.
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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