Sentence examples for interests methods from inspiring English sources

Exact(1)

Although some thinkers draw on both Marxism and poststructuralism, the two theories have different interests, methods, and assumptions.

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Despite the increased interest, methods for fostering development of these competencies are highly variable between centers with little agreement on how to train and assess learner proficiency [5].

Items of interest included: study design, number of participating men and women, characteristics of included population and indications, outcomes of interest, methods of outcomes and adverse events assessment, statistical approach regarding subgroup analyses, and results.

Since then, a number of structural studies employing whole-brain methods such as voxel-based morphometry or region-of-interests methods have been published.

We briefly describe three methods employing these two stages: constellation-based methods, object-context methods, and region-of-interest methods.

This lens provides a framework for topics of interest, methods for collecting data, and outcomes or changes anticipated by the study.

Third, region-of-interest methods do not scan the entire image for object detection, but use a coarse global representation of the image in order to determine a region of interest [ 49, 76, 77].

If the transport across the BBB is of interest, methods that measure free concentrations in brain are needed, as a reflection of the fraction of the molecules in plasma that can pass the tightly connected cell membrane of the BBB.

Depending on the particular questions of interest, methods used in these analyses can include principal component analysis [ 29, 33, 57], partial least squares [ 21, 57, 58], matrix correlation [ 29, 33, 53], or tests of modularity [ 20].

In the rest of this article we describe the statistical assumptions for the beta-binomial model, the process of estimating the probability of interest, methods to test for over-dispersion, and an example of its application.

Designing a trial comprises, among other things, the choice of population and outcomes of interest, methods of data collection, or a comparator against which a new, potentially useful experimental intervention ought to be tested.

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