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Descriptive statistics were used to evaluate sample characteristics.
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One example of a design metric used to evaluate sampling strategies is the D‐optimality criterion.
Therefore, only the serum caspase 3/7 assay was used to evaluate samples from sarcoma patients.
Reverse transcription PCR was used to evaluate 128/168 samples (96 lipoma samples and 32 ALT/WDL samples) (Table 3).
Furthermore the results of the assessment of the parameters (i.e. sensitivity of MCE) were used to evaluate the sample size useful to detect the absence of illicit treatment in a bovine farm.
Stable radical 2,2-diphenyl-1-picrylhydrazyl (DPPH) (Merck, Germany) was used to evaluate the sample's antioxidant activity [13].
The Shapiro-Wilk test was used to evaluate a sample normality distribution.
The Monte Carlo program SIMNRA was used to evaluate the sample compositions by fitting the peaks corresponding to the individual elements in the measured spectra.
A nanoindenter (Triboindenter, Hysitron, Minneapolis, MN) with a Berkovich tip was used to evaluate polished samples (0.25 µm) under dry conditions as described [10].
An ELISA was used to evaluate serum samples collected from rodents for immunoglobulin class G (IgG) antibodies that reacted with LCMV antigens produced in Vero E-6 cells.
In the future, the modeling framework presented here could be used to evaluate different sampling designs based on how well they constrain estimate uncertainty.
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