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As data did not meet the assumptions of an ANOVA model a non-parametric test was used.
As data did not pass the normality test, Kruskal-Wallis tests were used to analyze the impact of treatment on gene expression.
As data did not display a normal distribution, a non-parametric test was performed.
As data did not meet the requirements for parametric statistical analysis, non-parametric tests were used for analysis.
As data did not follow a normal distribution, they are expressed as median and interquartile range (IQR).
The importance of a previous PTB as a risk factor for adverse outcomes in a subsequent pregnancy may vary with the degree of PTB (e.g. at 31 weeks vs at 36 weeks); however we were not able to assess this as data did not include the gestational age of previous PTBs.
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As data do not reflect urine and fecal body water loss, total body water loss exceeds sweat rate.
However, scientific software struggles for recognition just as data does, so using it to alter or affect the academic reward system for data is a tricky prospect.
However, for almost every variable measured, open-source data captured as much information as official data did, if not more.
The clinical, biochemical, and virologic data are presented as median with range as most data did not show a Gaussian distribution.
Six PCTs were not eligible for inclusion as reported data did not meet DH quality checks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com