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The most common models used today rely heavily upon empirical information obtainable only from pilot size experiments and this makes "a priori" design from small scale data difficult.
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We took from the literature a process for Autothermal Reforming of Ethanol in its optimal operating condition, and scaled it up to pilot size.
Determining the required sample size exclusively based on the effect size estimates from pilot data, and following up on pilot studies only when the sample size estimate for the main study is considered feasible, creates what we term follow-up bias.
We used data from pilot testing for sample size calculations.
On the basis of data derived from pilot experiments, power and sample size calculations were performed using PS: Power and Sample Size Calculation version 2.1.31 software by Dupont and Plummer [ 20].
How can I use the information from a pilot to estimate the sample size? - Use with caution, as results from pilot studies can potentially mislead sample size calculations.
While the sample size was chosen based on effect-size calculations obtained from pilot data, caution in generalizing the results is prudent and ongoing studies in our lab have increased this group size.
22 We calculated our sample size on the basis of findings from pilot work related to state-trait scores.
Sample sizes were estimated using power analysis on data from pilot experiments.
aDerived from pilot testing.
It involved obtaining priors from pilot surveysb.
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