The editors at AJP Lung have been thinking a
lot about data presentation. Many
scientists present their results by showing bar graphs that plot the mean plus
or minus the standard error of the mean (mean ± SEM). The advantage of this approach is that bar
graphs are neat and easy to read, but it is also appreciated that this method
of presenting data can mask some important attributes and potentially may be
misinterpreted. Recently, there was a
very nice article by Harvey Motulsky, from Graphpad software, the maker of a commonly
used data analysis program that highlights some important misconceptions about
data analysis. The article is available
as open access (Pharmacol Res
Perspect. 2015 Feb;3(1):e00093)
and the link is provided here: Motulsky article . It is especially
interesting to consider figure 5 of the paper, which shows the same data set
graphed 6 ways. Looking at this figure,
it can be appreciated that plotting mean ± SEM gives little insight into the
variability in the data set. It also may
mask different sample sizes in some cases.
Some journals have editorial policies to insist that data be presented
as scatter plots. While AJP Lung has not
decided on such an editorial policy at this time, we do want to encourage
authors to think about how they present their data and to do so in the most
transparent manner possible. In the
meantime, Happy Fall!
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