Statistical power for cluster analysis. [PDF]
BMC Bioinformatics, 2022 Abstract Background 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. While guidelines exist for algorithm selection and outcome evaluation, there are no firmly established ...
Dalmaijer ES, Nord CL, Astle DE.
europepmc +7 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
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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
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Effect size, confidence intervals and statistical power in psychological research. [PDF]
Psychology in Russia: State of Art, 2015 Quantitative psychological research is focused on detecting the occurrence of certain population phenomena by analyzing data from a sample, and statistics is a particularly helpful mathematical tool that is used by researchers to evaluate hypotheses and ...
Téllez A. +2 more
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A Fast Multi-Locus Ridge Regression Algorithm for High-Dimensional Genome-Wide Association Studies
Frontiers in Genetics, 2021 The mixed linear model (MLM) has been widely used in genome-wide association study (GWAS) to dissect quantitative traits in human, animal, and plant genetics.
Jin Zhang +7 more
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Reliability of animal counts and implications for the interpretation of trends
Ecology and Evolution, 2021 Population time series analysis is an integral part of conservation biology in the current context of global changes. To quantify changes in population size, wildlife counts only provide estimates because of various sources of error. When unaccounted for,
David Vallecillo +6 more
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Impact of Misdiagnosis in Case-Control Studies of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
Diagnostics, 2023 Misdiagnosis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) can occur when different case definitions are used by clinicians (relative misdiagnosis) or when failing the genuine diagnosis of another disease (misdiagnosis in a strict sense).
João Malato +2 more
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Developmental Dyslexia, Reading Acquisition, and Statistical Learning: A Sceptic’s Guide
Brain Sciences, 2021 Many theories have been put forward that propose that developmental dyslexia is caused by low-level neural, cognitive, or perceptual deficits. For example, statistical learning is a cognitive mechanism that allows the learner to detect a probabilistic ...
Xenia Schmalz +2 more
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Utilizing harmonization and common surveillance methods to consolidate 4 cohorts: the Western Alaska Tribal Collaborative for Health (WATCH) study [PDF]
International Journal of Circumpolar Health, 2013 Background. According to health status reports, chronic disease prevalence appears to be rising in western Alaska Native (AN) people, and accurate population-based data are needed.
Kathryn R. Koller +10 more
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Understanding Statistical Power [PDF]
Journal of Orthopaedic & Sports Physical Therapy, 2001 This article provides an introduction to power analysis so that readers have a basis for understanding the importance of statistical power when planning research and interpreting the results. A simple hypothetical study is used as the context for discussion.
Barbara J. Norton, Michael J. Strube
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