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A combination of using both the median as well as the mean rainfall intensities is proposed for the same.
To mitigate this effect, we propose to calculate the median as, where is a small number (e.g., 0.05).
For each sample size, we calculated 1,000 bootstrap estimates and computed the median as well as the 5th and 95th percentiles of the bootstrap estimate distributions.
Boxplots show median as well as 25th and 75th percentiles.
For numerical data median as well as minimum and maximum value are given.
The median, as well as mean, distributional weights decrease monotonically with initial QALE.
Data were described as either means ± SEM or median, as appropriate.
We summarized data from the identified studies calculating the mean and median as well as the range of estimates.
Here we analyse each individual separately and report the median, as well as the 95% confidence interval, determined by bootstrapping.
For continuous variables, mean and standard deviation, and the median, as well as 5th and 95th percentile were calculated.
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Median as-treated follow-up time was 12 months (range 0 92).
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