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Since all heath care facilities were included in the sample, we assumed a design effect of 1.
Because of the limited size of the sample, we assumed that assortative mating, genetic inheritance, shared environmental influences, and CT remain constant from generation to generation.
Given the left-right symmetry of PrPSc distribution, which was verified by IHC analysis of the adjacent rostral and caudal coronal levels of the selected sample, we assumed that titer did not vary substantially on either side of the midline.
With regard to the second aim, when comparing high school students (non-clinical sample) with adolescent patients (clinical social anxiety disorder sample), we assumed that the patients would have significantly higher scores on all scales of the SASKO-J than the students.
To simulate a sample, we assumed the values of two crucial population parameters, population mutation rate θ = 4 N μ and population recombination rate ρ = 4Nr, where N is the effective population size and μ and r are mutation rate and recombination rate per gene per generation, respectively.
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As there is no information on the disease status for this independent sample, we assume the nondifferential misclassification mechanism in order to estimate the sensitivities and specificities.
To perform 3D device simulation with two-dimensional (2D) interface trap fluctuation (ITF) for each randomly generated device sample, we assume that the size of each RIT (SRIT) is equal to 2 nm × 2 nm at the interface of SiO x /Si.
By taking this into consideration and by excluding subjects with implausible energy reports from the study sample, we assume no selection effects on the study outcomes.
From the current sample, we assume group means (SDs) of −0.3 (1.1) vs 0.2 (1.2) and intracluster correlation coefficient of 0.63 for z-score on weight for height.
Ordinarily, given a random sample, we assume that we can generalize the results and conclusions drawn from the sample to the population; however, the sample size for microarray experiments is usually small.
Allowing for admixed individuals in the sample, we assume each individual to be represented by a K-vector of admixture proportions, Q n ∈ [0, 1] K, ∑ k Q n k = 1, n ∈ { 1, …, N }.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com