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The present study includes data from COPD patients with a wider range of lung disease severity, which means our data is more generalizable to the COPD population than if we had selected only the very severe group.
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In this study, this means our analysis of the data can be considered to be relevant for our research aim and for the group we studied.
Personalized medicine means combining our data on the mechanisms of illness with a deeper understanding of the causes of disease.
What this means for our data is that cost concerns may be under-reported, if the sample is skewed towards women who are likely to have higher incomes.
Similarly, the need for clinicians to ensure accurate recording of risk incidents means that our data on adverse events is also likely to be reliable.
19 Finally, it is not possible to draw causal inference based on observational studies, which means that our data cannot provide direct evidence for policy recommendations.
This means that our data do not compare with anti-Xa data during therapeutic dosing of LMWH, since these latter ranges are set as peak levels 4 h after subcutaneous injection in patients with normal kidney function.
10 As alcohol is metabolised at approximately 15 ml/100 ml per hour, 24 the delay between consuming alcohol and BAC being measured on arrival at the RR means that our data are likely to underestimate levels of misuse.
Given the diversity in weaning weight means in our data, we propose that accounting for effects of flock × birth-rearing type interaction properly is much more important than achieving full equality of residual SD among effect classes.
We are still discussing internally what this means for our data sharing policy, but in the meantime we are excited to see the recent discussion around open data taking place and encourage our authors to voice their own thoughts on the matter in the comments below.
Besides self-treatment, it is likely the poor access outpatient services for a range of treatments for which the rich seek inpatient care, which means that our data probably underestimate the pro-rich bias in access to inpatient health service care.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com