2009
DOI: 10.51481/amc.v52i6.347
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Tamaño de muestra en estudios clínicos

Abstract: Un aspecto fundamental en el diseño de estudios clínicos es la determinación del tamaño de muestra apropiado. Si el tamaño de muestra es muy pequeño, el estudio tendrá baja potencia estadística (AMC 49 (4):203-204) y en consecuencia, las estimaciones serán menos precisas y la probabilidad de encontrar diferencias significativas entre tratamientos o grupos será menor. Por otra parte, si el tamaño de muestra es muy grande, se estará haciendo un mal uso de recursos de investigación y sometiendo a pruebas a más pa… Show more

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“…Our findings partially support this first hypothesis, as we have observed the desired effects of the programme on self‐efficacy in ageing, which was statistically significant in within‐group pre‐post comparisons. The failure to identify any between‐group differences could be explained by the small sample size, which limits the statistical power of the analyses performed and the likelihood of finding statistically significant differences (Camacho‐Sandoval, 2008).…”
Section: Discussionmentioning
confidence: 99%
“…Our findings partially support this first hypothesis, as we have observed the desired effects of the programme on self‐efficacy in ageing, which was statistically significant in within‐group pre‐post comparisons. The failure to identify any between‐group differences could be explained by the small sample size, which limits the statistical power of the analyses performed and the likelihood of finding statistically significant differences (Camacho‐Sandoval, 2008).…”
Section: Discussionmentioning
confidence: 99%