Sentence examples for maximizing power to from inspiring English sources

This method is based on principal components analysis and the resulting correction is specific to a candidate marker's variation in frequency across ancestral populations, minimizing spurious associations whereas maximizing power to detect true associations.

Because gene-specific methylation patterns did not deviate significantly between cardiac phenotypes, cases were combined for subsequent analyses to maximize power to test our study hypotheses.

While this narrow age range allows us to maximize power to detect associations between inflammatory activity and LTL without many of the confounding factors associated with a sample of wider age range (e.g., cohort effects, hormonal effects), the findings of the present study may not be generalizable to other stages of the lifespan.

Alternatively, our results suggest that because the bias introduced by PS may not be as significant as once feared and that performing genome-wide association studies in admixed populations may be a reasonably strategy in increasing samples sizes to maximize power to detect associations.

This will maximize power to detect a statistically significant inferiority of email to human support.

Pool large cohort studies to maximize power to look at subpopulations where alcohol may be most detrimental or most beneficial.

First, a large dataset maximizes power to detect common prognostic factors, while stratification into subtypes results in smaller groups and, therefore, in reduced power.

Trialists want to maximize power to show a statistically significant treatment effect and avoid inflation of Type I error rate due to evaluation of multiple individual clinical outcomes.

To maximize power to detect an interaction, for these analyses we characterized SHS exposure as either high (≥ 2 hr/day) or not.

MLM has the advantage of allowing use of all available data points, which maximizes power to detect effects and reduces bias owing to missing data in longitudinal studies.

Temporal trends of the primary covariates were evaluated for each province using non-parametric Spearman rank correlation tests to maximize power to detect changes over the study period and avoid misspecification.