The phrase "adapted sample" is correct and usable in written English.
It can be used when referring to a sample that has been modified or adjusted from its original form for a specific purpose or context.
Example: "The adapted sample was used in the study to better fit the needs of the research participants."
Alternatives: "modified sample" or "altered sample".
These new series definitions were used to rerun regressions on the original sample, as well as on an adapted sample.
Further studies, with adapted sample size, are needed to determine the adverse effects of such treatment.
The adapted sample size analysis showed that a power of 79% was achieved for the parameter blood pressure and a significance level of 0.05 was achieved for the parameters HbA1c and total cholesterol.
Remark 4.1 To give an impression of how results may change if the actual final adapted sample sizes are used in the calculation of the critical Dunnett boundaries (see Remark 3.1) for, the values would become only slightly smaller than in Table 1 : 0.0507, 0.0507, and 0.0948 for, 0.025, and 0.05, respectively.
For cluster randomised trials we computed the design effect from data presented in the study reports (intra-class correlation coefficients, cluster adjusted estimates and confidence intervals) using STATA 9.2 and adapted sample sizes and numbers of events to make appropriate allowance for clustering [ 13].
To give an impression of how results may change if the actual final adapted sample sizes are used in the calculation of the critical Dunnett boundaries (see Remark 3.1) for, the values would become only slightly smaller than in Table 1: 0.0507, 0.0507, and 0.0948 for, 0.025, and 0.05, respectively.
Fo: The maximal fluorescence of light adapted samples.
where: Fm: The ground fluorescence of light adapted samples.
Our approach is based on λ-tracking controllers, but in a context of piecewise constant sampled-data output feedbacks and possibly adapted sampling periods.
We adapted sampling theory using Monte Carlo methods to determine target population sample size to detect disease with 95% confidence, using information from the epidemiologic parameters risk ratio and fraction of the population with the characteristic.
The comparison between naïve and adapted samples was tested with a one-sided contrast, testing for decrease in the signature in the adapted compared with naïve samples only.
