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Explorations in statistics: power
Advances in Physiology Education, 2010 Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This fifth installment of Explorations in Statistics revisits power, a concept fundamental to the test of a null hypothesis. Power is the probability that we reject the null hypothesis when it is false. Four things affect power:
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Fundamental frequency normalization and statistical power: an assessment of 15 normalizing techniques [PDF]
, 2023 Genette, J., Verhoeven, J., Gillis, S.
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Journal of Statistical Computation and Simulation, 2017 The use of the Cox proportional hazards regression model is wide-spread. A key assumption of the model is that of proportional hazards. Analysts frequently test the validity of this assumption using statistical significance testing.
P. Austin
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Giving less power to statistical power
Laboratory AnimalsResearchers 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 ...
Megan Higgs, Valentin Amrhein
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Statistical power in network neuroscience
Trends in Cognitive Sciences, 2023 K. Helwegen +2 more
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OPTIMAL SAMPLE SIZE FOR STATISTICAL ANALYSIS OF WINTER WHEAT QUANTITATIVE TRAITS [PDF]
Poljoprivreda, 2009 In the planning phase of every research particular attention should be dedicated to estimation of optimal sample size, aiming to obtain more precise and objective results of statistical analysis.
Andrijana Eđed +2 more
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Weighted averaging in spectroscopic studies improves statistical power [PDF]
, 2017 Jack J. Miller +3 more
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Wind power prediction models [PDF]
Investigations were performed to predict the power available from the wind at the Goldstone, California, antenna site complex. The background for power prediction was derived from a statistical evaluation of available wind speed data records at this ...
Levy, R., Mcginness, H.
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Wind Farm Power Performance Verification Using Non-Parametric Statistical Inference
, 2018 Maja Celeska +3 more
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Power Estimation in Multivariate Analysis of Variance [PDF]
Tutorials in Quantitative Methods for Psychology, 2007 Power is often overlooked in designing multivariate studies for the simple reason that it is believed to be too complicated. In this paper, it is shown that power estimation in multivariate analysis of variance (MANOVA) can be approximated using a F ...
Jean François Allaire, Sylvain Chartier
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