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In particular, the main contribution of this article is improving power in two ways: the statistical test used, showing that the non-standard likelihood ratio (LR) test in this setting can yield substantially more associations, and several exact algebraic reformulations that yield dramatic improvements in runtime for certain classes of set tests, enabling far larger datasets to be analyzed.
Improving power in these kernel-based models is the focus of this article.
Similar(58)
In particular, slow BR rate has been proposed as an endophenotype for bipolar disorder (BD) to improve power in large-scale genome-wide association studies.
In the framework of LCA, RIL can be used to greatly improve power in estimating non-additive genetic effects.
Imputed genotypes, generated with these methods, have been used, successfully, to improve power in association analyses [5], [14], [15], [16], [17], [18], [19], to facilitate meta-analyses, and to replicate significant findings in follow-up studies [6].
Both strategies, selecting the most likely genotype and selecting the posterior distribution of all possible genotypes, have demonstrated the capacity to improve power in follow-up association analysis [5], [6], [16].
The edgeR algorithm uses an empirical Bayes analysis to improve power in small sample sizes [ 19- 21].
This has been shown to improve power in other methods [ 11].
This indicated that IMP-WFDR can greatly improve power in detecting differentially expressed genes.
However, we wish to recruit more than this to improve power in our planned subgroup analyses.
Our goal is to improve power in multiple testing and to make association testing units that are biologically meaningful.
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