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23 We collected data on 2,132 children with diarrhea in the 2 weeks preceding the survey, which granted adequate power to detect a range of reasonable effect sizes in the logistic regression analyses of care-seeking and treatment.
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Indeed, such sample sizes may be required to validate and properly model biomarkers of reasonable effect size.
The determination of an appropriate sample size for an experiment is important and should be in accordance with a reasonable effect size.
However, larger group sizes in the crossover analysis (chocolate groups n = 26, capsule groups n = 36) assessing acceptability of the two treatment forms led to a reasonable effect size > 0.9.
Given the relatively short assessment period, the size of the study population, and the resulting power to detect a reasonable effect size, it is not feasible for our evaluation design to use population-based indicators, such as maternal mortality ratios and neonatal mortality rates, as outcome measures.
Currently known polygenic variants have a mean effect on BMI of approximately 0.03 0.5 kg/m²; it appears reasonable that these effect sizes represent the upper limit of such common variants [ 84– 86].
Considering differences among measures and scales for outcomes, a standardized mean difference was the most reasonable choice for computing effect sizes given the aggregated format of the data.
Due to the large effect sizes it appears reasonable that adjustment for hearing loss and nutritional deficiency may be relevant to the estimation of other predictors in clinical research.
Despite the relatively small sample size, the results in regards to the maintenance of attention offer strong effect sizes and make further research reasonable.
Underpowered studies may not detect effect sizes that are small, but reasonable considering the current understanding of the host genetics of complex diseases [ 86].
However, they have noted as we did in our study that small and moderate effect sizes can be detected with reasonable power even with small sample sizes provided that the uncertainty of the latent variable is taken into account.
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