Results 11 to 20 of about 14,418,222 (275)

AGNEP: An Agglomerative Nesting Clustering Algorithm for Phenotypic Dimension Reduction in Joint Analysis of Multiple Phenotypes

open access: yesFrontiers in Genetics, 2021
Genome-wide association study (GWAS) has identified thousands of genetic variants associated with complex traits and diseases. Compared with analyzing a single phenotype at a time, the joint analysis of multiple phenotypes can improve statistical power ...
Fengrong Liu   +6 more
doaj   +1 more source

The lack of statistical power of subgroup analyses in meta-analyses: a cautionary note

open access: yesEpidemiology and Psychiatric Sciences, 2021
One of the most used methods to examine sources of heterogeneity in meta-analyses is the so-called ‘subgroup analysis’. In a subgroup analysis, the included studies are divided into two or more subgroups, and it is tested whether the pooled effect sizes ...
P. Cuijpers   +2 more
semanticscholar   +1 more source

Admixed Populations Improve Power for Variant Discovery and Portability in Genome-Wide Association Studies

open access: yesFrontiers in Genetics, 2021
Genome-wide association studies (GWAS) are primarily conducted in single-ancestry settings. The low transferability of results has limited our understanding of human genetic architecture across a range of complex traits.
Meng Lin   +4 more
doaj   +1 more source

Theory and practice of clinical trials in oncology and hematology

open access: yesОнкогематология, 2016
In the era of evidence-based medicine the main reason for the implementation of new treatment methods are the results of clinical trials. However, clinical trials is a separate area of knowledge, which is often little known to clinicians, that does not ...
N. V. Zhukov
doaj   +1 more source

Calculating statistical power for meta-analysis using metapower

open access: yes, 2021
Meta-analysis is an influential evidence synthesis technique that summarizes a body of research. Though impactful, meta-analyses fundamentally depend on the literature being sufficiently large to generate meaningful conclusions.
Jason W. Griffin
semanticscholar   +1 more source

Reliable gains? Evidence for substantially underpowered designs in studies of working memory training transfer to fluid intelligence

open access: yesFrontiers in Psychology, 2015
In recent years, cognitive scientists and commercial interests (e.g., Fit Brains, Lumosity) have focused research attention and financial resources on cognitive tasks, especially working memory tasks, to explore and exploit possible transfer effects to ...
Tim eBogg, Leanne eLasecki
doaj   +1 more source

Classical Conditioning for Pain: The Development of a Customized Single-Case Experimental Design

open access: yesJournal of Trial and Error, 2022
Single-case experiments are increasingly popular in the behavioral sciences. Due to their flexibility, single-case designs can be customized to test a variety of experimental hypotheses.
Tamal Kumar De   +3 more
doaj   +1 more source

Using genomic annotations increases statistical power to detect eGenes. [PDF]

open access: yes, 2016
MotivationExpression quantitative trait loci (eQTLs) are genetic variants that affect gene expression. In eQTL studies, one important task is to find eGenes or genes whose expressions are associated with at least one eQTL. The standard statistical method
Duong, Dat   +6 more
core   +1 more source

Randomisation in a clinical trial: is it feasible in the Ebola crisis? If it is, then which method is suitable?

open access: yesSouthern African Journal of Infectious Diseases, 2016
Randomisation is an integral component of any sensible clinical trial. Randomisation is the only way we can be sure that the patients have been allocated into the treatment arms with as minimum bias as possible, and that the treatment arms are similar ...
Jesca M. Batidzirai
doaj   +1 more source

Statistical Power Supply Dynamic Noise Prediction in Hierarchical Power Grid and Package Networks [PDF]

open access: yes, 2008
One of the most crucial high performance systems-on-chip design challenge is to front their power supply noise sufferance due to high frequencies, huge number of functional blocks and technology scaling down.
Casu   +10 more
core   +1 more source

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