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To maximize power and minimize sample size effects, an alpha value larger or equal to 0.05 was sought.
From samples with >100 individuals available (Table 1), a sub-set of 100 individuals was chosen at random for subsequent analyses in order to minimize sample size effects.
Innovative clinical trial methods minimize sample size requirements (n=4) and maximize the proportion of patients who receive active treatment (n=2), strategies crucial to studying small populations of patients with limited treatment choices.
Thus, further cleaning (baking) of reagents and glasswares should minimize sample size of the HT Zn reduction method to 0.025 mg of C. In conclusion, the HT Zn reduction method had a mean background mc of 0.011 mg of C and a mean background Fc of 1.5445.
This choice was supported by observing that for K=10, (1) the global likelihood maximum was indeed probably reached and (2) the CV index values were close to the lowest ones at K=9. Subsequently, a sub-set of 24 individuals was chosen at random from each European and Near-Eastern ancestry population for the following analyses in order to minimize sample size effects.
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This quality minimizes sample-size problems and makes points highly suitable for quantitative analyses not always valid or practical in other artifact classes (e.g., ceramics, the vast majority of which occur as fragmented sherds, not integral vessels).
It is usually necessary to minimize the sample size for valuable data reconstruction.
Design parameters are chosen to minimize expected sample size subject to frequentist error constraints.
The goal of the method is to minimize the sample size while keeping the AKV values of all tested soil variables below given thresholds.
Efforts were made to minimize the sample size effect by using a p value of 0.05 or less for statistically significant results and having an adequate response to question ratio for the regression models (five times the number of variables).
Multi-stage, simple random sampling was used – one in July 1995 and the other one in December 1996 – in order to minimize the sample size required.
More suggestions(15)
reduced sample size
minimising sample size
minimizes sample size
minimize protein size
minimize sample degradation
minimize wound size
minimize sample set
minimize sample heterogeneity
minimize sample variance
minimize memory size
minimize sample consumption
minimize particle size
minimize sample charging
minimize sample carry-over
minimize sample handling
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