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For the actual sample size used in the analysis, see Tables 2 and 3. Due to this sample design, mothers who gave birth at a small hospital with fewer than 500 births a year and at midwifery service center are not included in the sample.
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Due to this sampling procedure, states with a low probability are updated less often than states with a higher probability, resulting in overall lower convergence.
We suggest that due to this sampling, it is possible that the symptomatology addressed in that trial was less severe than the one we observed in our patients, and that as a consequence, the placebo administration was simpler and the results about riboflavin were less encouraging than ours.
All women who initially showed an interest took part; due to this sampling method there were not any women who were not included in the study.
There are potential differences that might occur due to this sampling strategy but using different methods can be potentially be a strength: for example, participants might mention more private self-care issues that might not come up in a focus group.
They were more often characterized by an insecure attachment, yet without reaching a significant statistical difference due to this small sample size.
Probably in part due to this small sample size, the incidence of laboratory-confirmed influenza was not significantly different in the catechin/theanine group, in spite of showing a decreased tendency compared to placebo.
Due to this small sample size, constrained by the availability of adult (>10 years in age), captive-raised tortoises, these procedural controls are only depicted visually in our results, and are not included in statistical analyses.
While it is possible that the QLACS is not sufficiently responsive in these domains, the absence of detectable changes could also be due to this particular sample or the nature of the life change questions.
Due to this shallow sampling, we applied statistical estimators designed for incompletely sampled data sets to estimate var richness (the total number of var types in the population).
Due to this snowball sampling more and more e-mail addresses were collected.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com