Sentence examples for constrained sample size from inspiring English sources

Exact(4)

Due to the constrained sample size while only studying females, Mann-Whitney U tests (exact) were used in assessing the relation between menstrual cycle-phase and CPM-scores.

While that is an interesting future direction, here we focus on finding a single strong sub-network with constrained sample size to demonstrate the potential for using classifier-based algorithms to learn network structure.

For 2 of 11 VOCs (1,4-dichlorobenzene and tetrachloroethylene), between-child variability was greater than within-child variability, a condition that tends to complicate efforts to distinguish differences between individuals with a limited number of measurements and a constrained sample size.

The reason is that dropping treatments at the interim analysis can be viewed as a constrained sample size reestimation problem (with or as the only options for treatment i), and this cannot produce a larger maximum of the conditional type 1 error rate than the unconstrained optimization problem.

Similar(56)

The logistics issues related to availability of students during pre-planned academic activities constrained the sample size.

Available time and funding constrained the sample size, limiting the inclusion of a potentially broader range of perspectives.

These data from our 4 year study must still be interpreted cautiously, constrained by sample size, the sensitivity of swab testing, and the finding that individuals of some susceptible species may carry fluctuating low-level infection (Briggs et al., 2010).

In practice however, the value of τ is constrained by sample size because the genotype contingency tables for combinations rapidly become sparse and contain numerous empty cells when the order of the combinations increases.

However, a three-group (ɛ4-homozygote, ɛ4-heterozygote, and noncarriers) analysis to confirm that PA can enhance cognition at age ≥ 70 years regardless of genotype group was constrained by sample size.

It avoids linear model fitting and thus is more efficient and less constrained by the sample size.

The results are constrained by the sample size.

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