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We initiated model development using PBPK models that were developed for CPF in rats and adult humans (Timchalk et al. 2002) in which CPF and chlorpyrifos oxon (CPFO) were modeled assuming circulation through physiologic well-mixed compartments.
The entire study has been conducted with reference to the OECD guidelines for QSAR model development using predictive classification and regression modeling strategies.
A model development using VDM-SL provides better understanding and helps in stabilizing the requirements.
Tan et al. [11] used a time series of traffic flow collected over several years for model development using ARIMA.
Identification of vital and significant variables and establishment of interrelationship between variables is very important for accurate model development using ISM.
The prediction scheme proposed in this study for traffic flow prediction could be considered in situations where database is a major constraint during model development using ARIMA.
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The steroid 3D-QSAR model development used the steroidal AIs and followed an iterative process with three stages: fingerprint generation, QSAR development, and pharmacophore refinement [15 17].
Model development used data from 14 studies with heterogeneous study designs.
The basic steps of time-series model development used in the Phoenix analyses (Mar et al., in press) were the same as for Washington.
28 Madang model development used the most recent census data from 2001, other PNG government data and additional data collected in our field survey.
Model development used the NONMEM objective function value (OFV); parameter estimate precision was derived through a non-parametric bootstrap 19 and graphical assessment of basic goodness-of-fit plots and model simulations was undertaken.
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