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Design of experiments is explained, which can help in determining the sample points for development of meta-models.
Furthermore, a statistically sound approach to determining the sample size that is necessary for performance validation is provided.
Determining the sample size necessary to have a high probability of obtaining a statistically significant result is a key part of designing a study.
In determining the sample size, a snowball sampling technique was used to identify possible respondents which are particularly useful in hard-to-track populations.
Determining the sample size of a cluster randomized trial requires a reliable estimate of cluster size and the intracluster correlation (ICC), because sample size can be substantially impacted by these parameters.
We describe a method of quick evaluation of these new findings for potential clinical practice by designing a new predictive genetic test, estimating its classification accuracy, and determining the sample size required for the verification of this accuracy.
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The ARCHITECT HIV Ag/Ab Combo assay has a wide dynamic range for determining the sample-to-cutoff ratio (S/CO) values compared to other diagnostic HIV antibody assays.
In this study the prevalence was considered 35%% for determining the sample-size using the following formula: n = zq/rp.
The morphological observations provided the basis for determining the sampling time used for transcriptome sequencing.
Determine the sample data be used.
The electropherograms were then used to determine the sample genotype.
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CEO of Professional Science Editing for Scientists @ prosciediting.com