Results 301 to 310 of about 4,058,415 (318)
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The 'Power' of Sound Statistics

JAMA: The Journal of the American Medical Association, 1990
During the dozen years or so that I have served as a biostatistical consultant to the editors of JAMA , the most frequent comment I have made in my reviews is the simple, straightforward question, "Can the authors provide any rationale or statistical power considerations underlying their choice of sample size?" From this experience, I infer that lack ...
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Statistical Power In Nursing Research

Nursing Research, 1990
A power analysis was performed on 62 articles that were published in Nursing Research and Research in Nursing and Health during 1989. The analysis revealed that when effects were small, the mean power of the statistical tests being performed to test research hypotheses was .26, indicating a very high risk of committing a Type II error.
Denise F. Polit, Robert E. Sherman
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Statistical power in biological psychiatry

Psychiatry Research, 1981
The use of statistical power and power analysis in both the design and evaluation of experiments in biological psychiatry is described. The possible consequences of low power investigations are discussed, and guidelines are provided to facilitate the application of power analysis.
Richard C. Mohs   +5 more
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Statistical power in testing a hypothesis

The Journal of Bone and Joint Surgery. British volume, 2010
In comparing or assessing methods of treatment it is vital that the appropriate number of patients is selected in order to ensure that the conclusions drawn are statistically viable. This annotation describes the relevance of a statistical power analysis in the context of hypothesis testing to the determination of the optimal sample size of a study ...
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Statistical Power

2017
Zealure C. Holcomb, Keith S. Cox
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Statistical Power

2006
Griffith Health, School of Applied Psychology ; No Full ...
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Statistics, policy and power [PDF]

open access: possible, 2003
James Fairhead, Melissa Leach
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Testing for Statistical Power

Ergonomics in Design: The Quarterly of Human Factors Applications, 1995
Robert S. Kennedy, William P. Dunlap
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