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This ratio may mirror other aspects of body composition than mere adiposity for instance, a large hip circumference may indicate large muscles [ 7].
These differences may indicate large differences on the distribution process of both formulations, which may explain the lack of efficacy/therapeutic failure observed on clinical practice.
Thus, for microarray analyses involving complex tissues such as brain, low fold changes in gene expression may indicate large fold changes in a subset of cells or cells in a particular region of the tissue and should not be overlooked.
However, Greenland [ 33] cautions when working with random effect models: 1. if adding random effect changes the inference substantially, it may indicate large heterogeneity, needing to be explained; 2. specific distributional forms for random effects have no empiric, epidemiologic, or biologic justification.
These statistical differences on the PK parameters reported in Table 1 and Figure 3 may indicate large differences on the distribution process of both formulations, which may explain the lack of efficacy/therapeutic failure observed on the clinical practice for the AZM-G-formulation.
Thus, for gene expression analyses involving complex tissues such as brain, low fold changes in gene expression may indicate large fold changes in a subset of cells or cells in a particular region of the tissue and should not be overlooked.
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Isolated BAC outliers point to putative microevents (microdeletion or small amplification) whereas groups of BAC outliers may indicate larger aberred regions.
If your child shows delays in the development of small muscles skills like holding crayons or utensils with their hands, this may indicate larger developmental issues.
A larger number of measurements may indicate a large number of emitters and/or signals that are closely spaced in time, which may then necessitate computational savings.
Moreover, it is important to realize that a small number of grains may indicate relatively large overall openness cover in the landscape, especially if the open areas consist of few large clearings rather than many small clearings.
This may indicate a large block effect or a possible problem with a model and/or data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com