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The proposed modeling strategy uses disaggregated voting data and integrates dependencies among observations in a multi-level design.
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A hybrid modeling strategy using readily assigned Nuclear Overhauser Effect NOEE) data and main chain N O contact information from homology template proteins is suggested.
Since the modeling strategy used by Dancik et al. [ 13] is different from our approach, there is not a straightforward translation of the parameters.
9 The modeling strategy used for risk standardization accounts for correlation of observed readmission rates within a hospital and reflects the assumption that, after adjustment for sampling variability and patient characteristics including age, sex, and comorbidities, the remaining variation in readmission rates reflects hospital quality.
This approach of separating the model-building data from the model-testing data provides a rigorous test of our mathematical modeling strategies using data that are pre-existing in the literature.
Briefly, this study tested the feasibility of the EQ-VT for conducting self-administered lead-time TTO valuation tasks and explored modeling strategies using data collected from eight general population samples, each from a different country.
Implementation strategies, such as the change team model strategy used in this study, are also sustainable and can be used to identify other changes that could be made, or improve other aspects of service delivery.
The model-based strategy uses a widely available package for balanced sampling ("samplecube" Deville (2004)) together with simple linear models to compute the predicted values.
The proposed modeling strategy is used to identify weak components of an experimental machine, which limit the productivity due to chatter.
Briefly, a two-stage modeling strategy was used.
In addition, a multilevel modeling strategy is used to explore the possible interaction of cluster and individual level covariates in modifying the intervention effect.
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