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The hundreds of new features jammed into it have made it a prime example of software bloat, perhaps the quintessence of programmer Niklaus Wirth's law that software gets slower faster than hardware gets faster (for more on the problems with software design that lead to bloat, see "Anything You Can Do, I Can Do Meta").
— koba2802 "Do you accept credit cards?" — sheridanm "You gonna finish that?" — mlhumphrey Others came from the "Anything you can do I can do meta" crowd: "Err… it looks like whatever I say now it's going to sound like a snobby cartoon caption".
The interventions varied fundamentally and made it unfeasible to do meta analyses; the exception being two included Cochrane reviews on the effect of influenza vaccination [ 28, 29].
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And why do meta-narratives matter?
Failing to publicly share data makes it harder to do meta-analysis and easier for unscrupulous researchers to get away with fraud.
Philosophers might do "meta-ethics" but not "normative ethics".
Should it cloud [the literature] when we do meta-analyses or searches?" "I was a little surprised at" the low retraction rate, Wager says.
"With respect to main driver, clearly strength in numbers, this is why people do meta-analysis, it allows you to go more regional studies or continental or global studies, [and it] allows you to cross check and verify with independent data sets".
Many handbooks on how to do meta-analysis focus on the most widely used index of effect size the standardized mean difference d, the difference between means divided by the standard deviation.
There are also many articles on how to do meta-analysis.
Because we only included one trial we could not do meta-analyses however, effect sizes were calculated for all outcomes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com