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Descriptive statistics (minimum, maximum, and sample size) were also calculated.
The first scenario (S1) assumes availability of only the minimum, median, maximum and sample size (S1 = { xmin, xmed, xmax, n}).
Another alternative method was proposed by Bland [ 3] estimating these quantities based on the minimum, first quartile, median, third quartile, maximum, and sample size.
Patient characteristics will be summarized using descriptive statistics for continuous variables (mean ± standard deviation, minimum, maximum and sample size) and frequency tables for categorical variables (numbers and percentages).Statistical analysis of the data will be conducted at 12 and 60 months follow-up.
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Note that if "ground states" are also known, i.e. the maxima of the score landscape, the reverse process is possible, i.e. starting from a high maximum and sampling its local environment.
We denote the sample summary statistics as follows: minimum (xmin), first quartile (xQ1), median (xmed), third quartile (xQ3), maximum (xmax), and sample size (n).
Increasing the power in the first stage reduces the difference between the maximum and fixed sample sizes, however, this also increases the expected sample sizes due to a larger first stage.
The maximum and minimum sample sizes of patients were 222 and 19, respectively.
The second highest maximum and average sample values were 103 mg/kg and 69 mg/kg, respectively.
Scenario assumes that the median, the minimum, the maximum and the sample size are given for a clinical trial study.
Here, and are the bandwidth and fundamental frequencies, and are the AADC maximum and minimum sampling frequencies, respectively.
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