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Of note, one of these studies overcame the admission diagnosis-driven variability by developing a population pharmacokinetics model.
The federal government, through the Health Promotion and Population Branch attempted to also integrate the two approaches by developing a "population health promotion" model [ 46].
There are five major aspects to developing a population pharmacokinetic model: (i) data, (ii) structural model, (iii) statistical model, (iv) covariate models, and (v) modeling software.
It is suggested that a mapping of the PBPK model to a compartmental model can be done to optimize the parameters in the PBPK model to provide a future framework for developing a population physiologically based pharmacokinetic model.
After developing a population dosing regimen that incorporates patient characteristics (covariates) that significantly influence a drug's pharmacokinetic parameters it is possible that additional unmeasured factors may contribute to significant variability in the observed effectiveness of the regimen.
The Hothaps team is developing a Population Heat Exposure Profile (PHEP), an analysis tool that presents the current heat situation and time trends for relevant climate and heat exposure variables for each month of the year (Kjellstrom and Lemke, to be published).
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Therefore, this study attempts to establish data for normal adult Sudanese Arabs, assessing the existence of asymmetry and developing a population-specific equation for sex estimation.
Below we discuss each concept of the model followed by implications of developing a population-based screening tool based on the psychosocial, biological, and behavioral model.
We discuss the potential benefits and limitations of developing a population-based psychosocial, biological, and behavioral screening tool to predict PTB from a LMI country perspective, given existing resources.
To explicate the potential benefits and limitations of developing a population-based psychosocial, biological, and behavioral screening to predict PTB from a LMI country perspective, a new search strategy was undertaken.
The paper develops a Population based model for the transit network design problem.
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CEO of Professional Science Editing for Scientists @ prosciediting.com