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Further clinical investigation by using larger sample sizes is required to determine the diagnosis value of CCL15.
The model specification can be used for hypothesis testing by using larger sample sizes and for data in the full domain of health technologies.
To address this problem, the authors would need to increase the power of their study by using larger sample sizes, which would show whether there is a significant increase in survival with drug treatment or not.
In contrast, a number of researchers have reported evidence of biogeographic patterning of microorganisms by using larger sample sizes, detailed observations, and/or molecular assessments of diversity [ 28]-[ 32], and still others invoke a combination of ubiquity and endemism to explain cryptic molecular lineages of widespread morphospecies [ 33],[ 34].
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By using larger samples and a much higher density of markers than before and by exploring variation across autosomes and the X chromosome, we obtained an exponential increase in pair-wise LD comparisons, which allowed us to produce robust results.
This can be achieved by using large sample sizes, incorporating imputation or sequence-level information, and involving diverse populations to maximize statistical confidence and resolve LD structure.
In addition, 95% confidence intervals weighted by the inverse of the variance for each of these summary measures were calculated by using large-sample asymptotic methods.
In this regard, Flint and co-workers [ 7, 11] have demonstrated that simultaneous detection and fine mapping of QTLs is possible by using large samples of genetically heterogeneous animal stocks (see also [ 12]).
Although we observed only a few minor side effects and no adverse events occurred in our study, studies addressing safety of corticosteroid injections for CTS provided by general practitioners using larger sample sizes are needed.
Despite these limitations, we believe that our study provides estimates of reliability and MDC of TUG scores in individuals with doubtful to moderate knee OA, warranting replication by clinicians in other countries using larger samples of subjects.
Even when focusing on one single technique and one well-defined cell type, measured cell stiffness seems to inherently display a very broad, non-Gaussian spread [ 260] (some approach this problem by averaging over many cells using larger samples [ 277]). Figure 21 shows typical measurement curves for a selection of four different methods.
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