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Topics include selecting a study sample, addressing internal and external validity, improving statistical power, choosing alpha and beta, analysis innovations to address dilution effects, and analysis methods to deal with poor compliance, dropout, and missing data.
If data obtained from these studies are appropriately analyzed, this design can have several advantages such as improving statistical power in detecting associations and reducing the time and cost in the data collection process.
Pathways can be used for visualizing experimental data in a biological context [21], finding relevant biological mechanisms and improving statistical power of an experimental analysis [22], [23].
The benefit of large samples in improving statistical power and detecting interactions of much smaller effect sizes may be validated in the future.
This would perhaps allow more targeted and accurate sampling methods to be developed for fewer taxa representing functional guilds while improving statistical power and overall robustness in non-target assessment.
For any panel of lines chosen for association mapping, controlling population structure is the key factor for improving statistical power and decreasing the false positive rate in gene discovery [7].
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Longitudinal analysis on the measures produced by these methods are shown to have improved statistical power.
Many studies use GEO data to shape hypotheses and improve statistical power.
We demonstrate that FGRF has comparable statistical power with existing methods when there is no genetic heterogeneity, but can improve statistical power when there is genetic heterogeneity across families.
Females were oversampled to improve statistical power for sex-specific analyses.
However, translating a reduction in COV to improve statistical power requires additional assumptions, e.g., regarding the potential treatment effect [50].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com