Results 1 to 10 of about 11,330,431 (362)
Statistical power for cluster analysis. [PDF]
BMC Bioinformatics, 2022 Cluster algorithms are gaining in popularity in biomedical research due to their compelling ability to identify discrete subgroups in data, and their increasing accessibility in mainstream software.
Dalmaijer ES, Nord CL, Astle DE.
europepmc +9 more sources
Statistical power in network neuroscience
Trends in Cognitive Sciences, 2023 Network neuroscience has emerged as a leading method to study brain connectivity. The success of these investigations is dependent not only on approaches to accurately map connectivity but also on the ability to detect real effects in the data - that is, statistical power.
K. Helwegen +2 more
semanticscholar +4 more sources
The lack of statistical power of subgroup analyses in meta-analyses: a cautionary note. [PDF]
Epidemiol Psychiatr Sci, 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 ...
Cuijpers P, Griffin JW, Furukawa TA.
europepmc +2 more sources
Statistical power for detecting epistasis QTL effects under the F-2 design [PDF]
Genetics Selection Evolution, 2005 Epistasis refers to gene interaction effect involving two or more genes. Statistical methods for mapping quantitative trait loci (QTL) with epistasis effects have become available recently.
Da Yang, Mao Yongcai
doaj +2 more sources
Low statistical power in biomedical science: a review of three human research domains [PDF]
Royal Society Open Science, 2017 Studies with low statistical power increase the likelihood that a statistically significant finding represents a false positive result. We conducted a review of meta-analyses of studies investigating the association of biological, environmental or ...
Estelle Dumas-Mallet +4 more
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A farewell to Bonferroni: the problems of low statistical power and publication bias [PDF]
Behavioral Ecology, 2004 Recently, Jennions and Moller (2003) carried out a metaanalysis on statistical power in the field of behavioral ecology and animal behavior, reviewing 10 leading journals including Behavioral Ecology.
Shinichi Nakagawa
semanticscholar +2 more sources
Statistical power: An historical introduction [PDF]
Tutorials in Quantitative Methods for Psychology, 2007 Despite the funding agencies growing demands towards power analyses, we believe researchers are still not fully aware of the statistical power concept, of the possible benefits of power analysis in the planning phase and of the ways to increase the ...
Jean Descôteaux
doaj +3 more sources
Design sensitivity and statistical power in acceptability judgment experiments
Glossa, 2017 Previous investigations into the validity of acceptability judgment data have focused almost exclusively on type I errors (or false positives) because of the consequences of such errors for syntactic theories (Sprouse & Almeida 2012; Sprouse et al ...
Diogo Almeida, Jon Sprouse
doaj +3 more sources
Frontiers 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
A Guide for Calculating Study-Level Statistical Power for Meta-Analyses
Advances in Methods and Practices in Psychological Science, 2023 Meta-analysis is a popular approach in the psychological sciences for synthesizing data across studies. However, the credibility of meta-analysis outcomes depends on the evidential value of studies included in the body of evidence used for data synthesis.
Daniel S. Quintana
semanticscholar +1 more source