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These models produce the most relevant explanatory variables for research funding, which do not include library-related variables in most cases.
The choice of items measured by the network is so far dependent on routinely collected variables for research.
There is taxometric evidence for three of the four health traits, showing that alexithymia (Parker, Keefer, Taylor, & Bagby, 2008), HA (Ferguson 2009), and Type D (Ferguson et al., 2009b) are all dimensional and, therefore, should be treated as continuous variables for research, prognosis, and treatment evaluations (Ferguson, 2008; Parker et al., 2008).
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We also found that although the completeness for radiation dose was greater than 90%, the use and recording of different dose units to the registry may hamper the use of this variable for research.
Control variables for this research consist of demographic characteristics, unit characteristics, and occupational stigma.
It will also show which type of variables had the highest importance in previous applications and will help in selecting the proper variables for future research.
To control external variables for our research, we carefully selected 13 samples with the smallest differences.
Thus, it is necessary to systemically address these variables for translational research to identify potential therapeutic strategies.
Our choice of variables for this research was also based on prior empirical evidence on this topic, mostly from the study of other populations.
For this reason, these findings are helpful enough to understand the characteristics of the studied population, but we are trying to control these important variables for further research, to better generalize our results to the broader community.
Control of unwanted variables is paramount for research animal facilities because the data obtained from research animals can otherwise be affected, confounding interpretation of research results.
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