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Per the IRB review, individual informed consent was waived because this analysis used currently existing data collected during the course of routine treatment and care and the data were reported in aggregate without the use of individual identifying information.
Because this analysis used publicly available data, human subjects research approval was not sought.
Although abdominal pain might be expected to strongly correlate with BM frequency and stool consistency, this study found only weak correlations, perhaps because this analysis used the 2-week average of the daily assessments and therefore did not account for day-to-day variability in these symptoms.
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A second possibility is a difference in the type of PM exposure, because previous analyses assessed PM10 and this analysis used PM2.5.
Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by providing their written consent.
The limitation of this study includes the inherent assumptions made for any meta-analysis, because the analysis uses pooled data either from published papers or provided by individual study authors, individual patient data and original data were not available, which prevented us doing more detailed relevant analysis and obtaining more comprehensive results.
Because the analysis uses only BAC clones for which both sets of data are available a much reduced number of BAC clones are included.
Furthermore, because this post-hoc analysis used data of a cost-effectiveness study in the treatment of schizophrenia, it enabled comparison between participants with versus without criminal justice system encounters on total health care costs and cost components.
Because our analysis used existing data, there were no risks posed to human life.
The summary SMRs for lung cancer and nonmalignant respiratory disease reported here are somewhat lower than those reported by McDonald et al. (2004), partially because my analysis used no tenure exclusion.
This is because the latent class analysis used by Bonde et al. [ 8] modelled a latent condition between meat inspectors and researchers, which are likely to be correlated measurements based on common diagnostic criterion rather than independent measurements as would be expected with unrelated diagnostic tests.
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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