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We set a minimum study size anticipating that the individuals available for our de novo analyses would typically be only a subset of the study individuals.
The minimum study size was set to be 10, meaning that if the generated study size was less than 10, it was set to 10. Consequently, 40 and 500 are no longer the means for the simulated study sizes, but the medians, and the realized standard deviations will be slightly smaller than 30 and 450, respectively.
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Use of the PLS tool for analysis determined the minimum study sample size.
The minimum study sample size was calculated for estimating the actual prevalence of diarrhea among areas under study.
The minimum study sample size was calculated using the power analysis, estimating the expected effects from the pilot data and assuming an alpha level of 0.10 and a power of 80% (minimum sample size for each group is 37 patients).
For the HCW branch of the study, the minimum sample size was calculated using the same criteria as for the community study.
In this study, the minimum module size was set to 50 genes with the module-merging cut height set at 0.20.
Thus, for this study, a minimum sample size of 18 was determined to be sufficient for a power of 0.8 with α = 0.05, and a maximum of 5 covariates in linear models.
As a matter of fact, unmet minimum sample size of study cohorts hampers the assessment of statistical performances, and prediction strength is known to vary considerably depending on which patient populations and what end point the assay was optimized for.
For the community branch of the study, a minimum sample size of 1500 subjects was required at a design prevalence of 20% and a confidence level of 95% to maintain a ±10% margin error of estimate.
For the present study, a minimum sample size of 500 patients was calculated based on an assumed prevalence of oral mucosal lesions (OML) in patients with skin diseases of 5%, a confidence interval of 95%, and an absolute precision of 0.02 [ 30].
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