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In order to reduce the influence of extreme outliers, geometric means were preferred to arithmetic means to summarise population infection intensity (Table 1 and Table 2).
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Foundations with lower subtotals, totals and means are preferred by participants.
In the commonest situation of comparing two independent groups, a t test and corresponding CI for the difference in means is preferred, provided its underlying assumptions hold, over a non-parametric alternative such as a Mann–Whitney U test (it should be noted that this non-parametric test does not compare the group means or medians but the two distributions).
Note that, although the product of likelihoods could have been used instead, the mean is preferred in order to avoid that the calculation be biased by likelihood values that are too small.
The mean is preferred among the others since it includes all the values in the data set in its computation, minimizing the error in the prediction of any of its values.
The geometric mean was preferred since it down-weights species whose scores are based on nodes with symmetrical but wide confidence intervals in estimate age, and is therefore more conservative than the arithmetic mean.
When this occurs, a negative binomial model, which does not constrain the conditional variance to equal the mean, is preferred over a Poisson Model [ 29, 30].
A number of liberal Western-type reforms were espoused, but more direct means of control were preferred to constitutional representative government; a majority of the Siamese people did not understand this concept or remained indifferent to it.
Where there was a choice of outcome measures, the outcome chosen was the primary behavioural outcome measure specified by the authors, measured by the most objective means (eg, accelerometer data were preferred to self-reported minutes of physical activity) and adjusted for baseline differences if this had been seen as necessary by the authors.
Ideally medians are preferred over means in skewed distributions.
Since the distribution of SMRs was skewed, symmetric categories on the logarithmic scale centered around 1.00 (the global mean of the study region) were preferred to dividing districts equally into quartiles/quintiles etc., as such categorization is sensitive to the distribution of data and may group values that differ greatly into broad and heterogeneous bands.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com