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However, because of the low prevalence of mothers who were both PHFI and HIV-negative (n = 7, 2.5% of sample) this variable was collapsed into three categories: a) HIV-positive and PHFI, b) HIV-positive and not PHFI or HIV-negative and PHFI, c) HIV-negative and not PHFI.
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Actually, among the countries in our sample where this variable is available, Greece is the only one with such behavior.
were above the average; and for the last variable x5 the regions of Bratislava, Zilina and Kosice were above the average of whole sample for this variable.
Probably as an effect of the relatively small sample size, this variable was no longer significant in multivariate analysis [ 19].
Only 69% of papers included the corresponding author's institutional data in the AD field, limiting the sample for this variable from 1,203 to 828 cases or 9% of the universe.
Analyses of variance were then carried out to determine the effect of risk category, sex, age, and time of sampling on this variable.
A combination of the high odds ratio with a relatively small number of pen faecal samples in this variable category indicates that this association should be a matter of further study.
The work-related exposures were obtained from the questionnaire based on the typical activity patterns in the past three months of the personal sampling, thus this variable was not able to capture substantial day-to-day variation in subjects' time activity patterns and PB-PAH exposures.
Due to the sample size for this variable, non-parametric analysis with two-tailed Wilcoxon matched pairs testing was also done and significant (p < 0.03).
The posterior inclusion probability yielding the individual uncertainty quantifies in how many cases of the Monte Carlo simulation of the sample space Ω this variable contributed to an increased posterior model probability (PMP).
Therefore, our small sample size for this variable does not allow us to make inferences about this effect.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com