I am wondering if they had a reason for using median values instead of mean values. As the PP states a median value is the middle value of a range of numbers like (Like 1 to 5, the median is 3), the mean is the average (3+3+3/3 = 3). To me, it makes me think that the mean didn't show a statistical significant difference, but the median did. I personally don't like to use the median when I am doing statistical analysis, because outliers (really high and really low values) can really shift the results. Also, there are different p values at which statisticians will allow significance to show up, <.05 is the highest value (with .01 and <.001 being the lowest ones). For some statisticians, they will not accept a value that high.
There are also tests called post-hoc, that tell you what type of an effect size there is. Things can be significant, but have very little effect sizes, which means they are harder to generalize. I notice that they did not report this, which makes me think it didn't have a large effect size.
I also wonder if getting breastfed infants into the study earlier (32 days compared with 50 days for formula fed infants) made a difference. They didn't say they adjusted for that.
It's really hard to make conclusions about such a limited study. Without multiple replications of it, it would be really hard to generalize this to a larger community. Sometimes I just want to see these researchers data and run it myself. LOL.
Also, the PP is right in saying that this wasn't a published study. Published studies go through and extensive peer review process that looks at things like the statistical analysis done, the methods for doing the study, and the conclusions being made.
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