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The first approach is to apply sample average approximation to approximate the two stochastic problem via sampling.
Since the propensity score model is evaluating the probability of being selected into NHANES-III given a set of covariate values, we did not apply sample weights to this model.
Furthermore, we may apply sample size adaptations based on unblinded interim data.
However, closed and simple to apply sample size formulas often fail if the complexity of the data distribution increases.
If a pipette was used to apply sample to the test strip at the bedside the difference between the two measurements was on average.25 mmol/L lower than if no pipette was used.
However, a multicentre randomized trial on this topic would present large practical and methodological challenges, both regarding which time frames to use (intervention) and how to apply sample frames and randomization across hospitals.
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In some cases, automation of sampling (Multivial cyclone) was then augmented by automated processing steps to apply samples to biosensors (MVI).
Because the median filtering is applied sample per sample, it results in "noisy" temporal curves.
When each sampling strategy was applied, sample sizes were gradually reduced and each sampling size contained 3000 replicates.
The equivalency of the data obtained after the applied sample preparation compared to data obtained without sample treatment was proven.
The detection signal changed linearly with the amount of protease and was independent of the applied sample flow rate.
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