Exact(2)
Further study of the effect of inflammation as an outcome with large sufficiently powerful samples is therefore indicated to assess whether this outcome measure differs between orthopaedic wounds closed with sutures compared with staples.
This is an interesting area of research and one that should be considered in future research with more powerful samples, although at present there is little evidence for gene × sex interaction, at least in symptoms of overactivity [ 22].
Similar(58)
Microdialysis is a powerful sampling technique that enables monitoring of dynamic processes in vitro and in vivo.
Our approach shows how pilot survey data and an understanding of spatial gradients or heterogeneity can help design a powerful sampling layout.
Thin film microextraction (TFME), which is based on the retention of target analytes in a thin polymeric coating, is a powerful sample treatment technique with multiple applications.
Replica Exchange with Solute Tempering (REST2) is a powerful sampling enhancement algorithm of molecular dynamics (MD) in that it needs significantly smaller number of replicas but achieves higher sampling efficiency relative to standard temperature exchange algorithm.
Conversely, this might bring about problems inherent to combining samples of different sources to obtain larger and powerful sample sizes, i.e. population-specific signals are diluted using mixed samples, especially taken the extensive genetic and allelic heterogeneity between populations.
The reproductive safety of antipsychotic medications should be studied using a prospective design and a powerful sample size and in the reality of polytherapy, associated comorbidities and environmental and genetic confounders.
Although only a single valve was employed here, this work opens the door for the powerful sample handling capabilities of multilayer soft lithography to be applied to CE analyses.
Using the method at the regional level also provides an additional means to follow the spatial diffusion of the epidemic wave on the basis of a robust and powerful sample of pharmacies distributed all over the country.
We had to decide whether we were going to use modern statistical techniques like multiple imputation to replace missing values in order to create less biased estimates of accuracy and obtain more powerful sample sizes for external validation (Vergouwe et al, 2010).
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