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• W2095687684 startingPage "1348" @default.
• W2095687684 abstract "Investigators should properly calculate sample sizes before the start of their randomised trials and adequately describe the details in their published report. In these a-priori calculations, determining the effect size to detect--eg, event rates in treatment and control groups--reflects inherently subjective clinical judgments. Furthermore, these judgments greatly affect sample size calculations. We question the branding of trials as unethical on the basis of an imprecise sample size calculation process. So-called underpowered trials might be acceptable if investigators use methodological rigor to eliminate bias, properly report to avoid misinterpretation, and always publish results to avert publication bias. Some shift of emphasis from a fixation on sample size to a focus on methodological quality would yield more trials with less bias. Unbiased trials with imprecise results trump no results at all. Clinicians and patients deserve guidance now." @default.
• W2095687684 created "2016-06-24" @default.
• W2095687684 creator A5055268027 @default.
• W2095687684 creator A5056315210 @default.
• W2095687684 date "2005-04-01" @default.
• W2095687684 modified "2023-10-17" @default.
• W2095687684 title "Sample size calculations in randomised trials: mandatory and mystical" @default.
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• W2095687684 doi "https://doi.org/10.1016/s0140-6736(05)61034-3" @default.
• W2095687684 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15823387" @default.
• W2095687684 hasPublicationYear "2005" @default.
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