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Pappus had employed an analytic method for the discovery of theorems and the construction of problems; in analysis, by contrast to synthesis, one proceeds from what is sought until one arrives at something known.
An analytic method for the analysis of bifurcation to periodic solutions is developed.
All the previous mentioned studies have evaluated TNF inhibitor dose escalation, but there is no standard analytic method for the calculation of dose escalation.
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Hierarchical linear modeling (Raudenbush & Bryk 2002) is the preferred analytic method for this design because it accounts for the lack of statistical independence of data (e.g., POs clustered within site within condition) and because it is more flexible than standard statistical regression based on the General Linear Model.
A working group from CEN TC 351 (WG 5) is currently harmonizing analytic methods for the quantification of these substances in eluates.
The measurement of embrittlement is characterised by experimental and numerical ways in order to make up for the limits of analytic methods for the large strain field.
The increased power of analytic methods for the study of the human microbiome may facilitate such exploration.
The study highlights the importance of appropriate selection of study subjects and use of analytic methods for the evaluation of screening methods using observational data.
Our traditional omic analytic methods for the discovery of factors influencing pathology implicitly assume that complex diseases have simple etiologies (i.e. no covariates or interactions will affect independent validation), and that observational data is virtually devoid of cryptic bias, confounding, and measurement error.
Extending this idea, we describe here an analytic method for assessing the association between the constructed haplotypes along with environmental factors and the disease phenotype.
The first is an analytic method for reducing the number of free parameters, whilst the second exaggerates the minima in parameter space, leading to a more robust solution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com