2008
DOI: 10.1007/s11999-008-0346-9
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Statistics in Brief: The Importance of Sample Size in the Planning and Interpretation of Medical Research

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Cited by 292 publications
(217 citation statements)
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“…3, Point D). Sample size can be used as a lever to control for Types I and II error levels [2]. However, a strong statistical association, p values, or test statistics never imply any causal effect.…”
Section: Implications For Researchmentioning
confidence: 99%
“…3, Point D). Sample size can be used as a lever to control for Types I and II error levels [2]. However, a strong statistical association, p values, or test statistics never imply any causal effect.…”
Section: Implications For Researchmentioning
confidence: 99%
“…Also, a larger sample size results in more precision of the parameters being estimated thus resulting in more power as the estimates are more likely to be closer to the true values in the target population. (A more-detailed article by Biau et al [1] discusses the relationships between power and sample size along with examples. )…”
Section: Discussionmentioning
confidence: 99%
“…The power analysis according to Biau et al [4] was based on the biomechanical measures and results of Gardner et al [15]. The key variable of interest was defined as the posterior compression force in the plane of the pelvic ring.…”
Section: Methodsmentioning
confidence: 99%