Results 21 to 30 of about 14,418,222 (275)

A Fast Multi-Locus Ridge Regression Algorithm for High-Dimensional Genome-Wide Association Studies

open access: yesFrontiers 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
doaj   +1 more source

A cautionary note on the use of the Analysis of Covariance (ANCOVA) in classification designs with and without within-subject factors

open access: yesFrontiers in Psychology, 2015
A number of statistical textbooks recommend using an analysis of covariance (ANCOVA) to control for the effects of extraneous factors that might influence the dependent measure of interest. However, it is not generally recognized that serious problems of
Bruce A Schneider   +2 more
doaj   +1 more source

Impact of Misdiagnosis in Case-Control Studies of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

open access: yesDiagnostics, 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
doaj   +1 more source

Repeated Measures Correlation

open access: yesFrontiers in Psychology, 2017
Repeated measures correlation (rmcorr) is a statistical technique for determining the common within-individual association for paired measures assessed on two or more occasions for multiple individuals.
Jonathan Z. Bakdash, Laura R. Marusich
doaj   +1 more source

Effect Size Guidelines, Sample Size Calculations, and Statistical Power in Gerontology

open access: yesInnovation in aging, 2019
Background and Objectives Researchers typically use Cohen’s guidelines of Pearson’s r = .10, .30, and .50, and Cohen’s d = 0.20, 0.50, and 0.80 to interpret observed effect sizes as small, medium, or large, respectively.
C. Brydges
semanticscholar   +1 more source

Reliability of animal counts and implications for the interpretation of trends

open access: yesEcology 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
doaj   +1 more source

On Attenuated Interactions, Measurement Error, and Statistical Power: Guidelines for Social and Personality Psychologists

open access: yesPersonality and Social Psychology Bulletin, 2020
The replication crisis has seen increased focus on best practice techniques to improve the reliability of scientific findings. What remains elusive to many researchers and is frequently misunderstood is that predictions involving interactions ...
Khandis R. Blake, S. Gangestad
semanticscholar   +1 more source

Power-law behavior and condensation phenomena in disordered urn models [PDF]

open access: yes, 2008
We investigate equilibrium statistical properties of urn models with disorder. Two urn models are proposed; one belongs to the Ehrenfest class, and the other corresponds to the Monkey class.
Inoue, Jun-ichi, Ohkubo, Jun
core   +2 more sources

Testing for normality in regression models: mistakes abound (but may not matter)

open access: yesRoyal Society Open Science
This study examines the misuse of normality tests in linear regression within ecology and biology, focusing on common misconceptions. A bibliometric review found that over 70% of ecology papers and 90% of biology papers incorrectly applied normality ...
Stephen Midway, J. Wilson White
doaj   +1 more source

Powerful Statistical Inference for Nested Data Using Sufficient Summary Statistics

open access: yesFrontiers in Human Neuroscience, 2018
Hierarchically-organized data arise naturally in many psychology and neuroscience studies. As the standard assumption of independent and identically distributed samples does not hold for such data, two important problems are to accurately estimate group ...
Irene Dowding, Stefan Haufe
doaj   +1 more source

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