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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Giving less power to statistical power. [PDF]
Lab AnimResearchers often need to justify their choice of sample size, particularly in fields such as animal and clinical research, where there are obvious ethical concerns about relying on too many or too few study subjects. The common approach is still to depend on statistical power calculations, typically carried out using simple formulas and ...
Higgs MD, Amrhein V.
europepmc +2 more sources
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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Classical Conditioning for Pain: The Development of a Customized Single-Case Experimental Design
Journal 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
Type I error and power rates: A comparative analysis of techniques in differential item functioning
International Journal of Assessment Tools in Education, 2023 The main purpose of this study is to examine the Type I error and statistical power ratios of Differential Item Functioning (DIF) techniques based on different theories under different conditions.
Bayram Bıçak +1 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.
B J, Norton, M J, Strube
openaire +2 more sources
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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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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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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