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[The dramatic loss of statistical power when dichotomising continuous variables]. [PDF]
Rev NeurolCarazo-Díaz C, Prieto-Valiente L.
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[Statistical power in medical research. What position should be taken when research results are not significant?] [PDF]
Rev NeurolCarazo-Díaz C, Prieto-Valiente L.
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Pediatrics, 1989
Pediatrics, July 1988, contained two articles, each of which had a "negative result" as its primary conclusion. That is, in each study the authors looked for a statistically significant difference between two groups and found none. A third study? in the same issue also concluded "no difference" in an important comparison between its study and control ...
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Pediatrics, July 1988, contained two articles, each of which had a "negative result" as its primary conclusion. That is, in each study the authors looked for a statistically significant difference between two groups and found none. A third study? in the same issue also concluded "no difference" in an important comparison between its study and control ...
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NEJM Evidence, 2023
How Statistical Power WorksThis Stats, STAT! animated video explores the concept of statistical power and explains how clinical investigators determine how many participants to enroll in a randomized trial.
Suellen, Li +6 more
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How Statistical Power WorksThis Stats, STAT! animated video explores the concept of statistical power and explains how clinical investigators determine how many participants to enroll in a randomized trial.
Suellen, Li +6 more
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Increasing scientific power with statistical power
Neurotoxicology and Teratology, 1992A survey of basic ideas in statistical power analysis demonstrates the advantages and ease of using power analysis throughout the design, analysis, and interpretation of research. The power of a statistical test is the probability of rejecting the null hypothesis of the test. The traditional approach to power involves computation of only a single power
K E, Muller, V A, Benignus
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Statistics: Discovering Its Power.
Journal of the American Statistical Association, 1983Statistics: Discovering its Power. By T. H. Wonnacott and R. J. Wonnacott. London, Ontario, Wiley, 1982. xviii, 378 p. 24.5 cm. £16.45 (hardbound), £7.20 (paperbound). (Wiley Series in Probability and Mathematical Statistics.)
S. J. Daldry +2 more
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International Journal of Injury Control and Safety Promotion, 2014
When planning a research study, the issue of the necessary sample size is one that is extremely important.
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When planning a research study, the issue of the necessary sample size is one that is extremely important.
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2020
In this chapter, we focus on approximation problems motivated by studies on the asymptotic behavior of power-divergence family of statistics. These statistics are the goodness-of-fit test statistics and include, in particular, the Pearson chi-squared statistic, the Freeman–Tukey statistic, and the log-likelihood ratio statistic.
Yasunori Fujikoshi, Vladimir V. Ulyanov
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In this chapter, we focus on approximation problems motivated by studies on the asymptotic behavior of power-divergence family of statistics. These statistics are the goodness-of-fit test statistics and include, in particular, the Pearson chi-squared statistic, the Freeman–Tukey statistic, and the log-likelihood ratio statistic.
Yasunori Fujikoshi, Vladimir V. Ulyanov
openaire +1 more source