Sentence examples for standardization model from inspiring English sources

Furthermore, it can be used as a standardization model that facilitates system integration and communication of ideas.

The objective of our study was to determine the potential fiscal ramifications of TSE for various real world testicular cancer scenarios using a national cost standardization model.

Performing such analysis successfully requires the integration of various working modules (such as pathway curation, standardization, model development and model validation) by the theoretical biologists of this field.

Figure 1C depicts a causal relation between both PCBs and serum lipids with the outcome, and a noncausal association between PCBs and serum lipids resulting from a common ancestor, A. Use of the standardization model will be valid for this situation only if the standardization completely accounts for the association between PCB and serum lipids.

Both methods provide standardization models that can be used to compensate such instrument related signal shifts by postprocessing of the measurement data.

This paper gives an overview of the state-of-the-art concerning these so-called supraharmonics, and noticeably indicates the research challenges associated with waveform distortion in this frequency range, with emphasis on the following aspects: emission; propagation; interference; measurements; standardization; modelling and simulation.

In the present study, plasma lipids are included as a separate predictor in the regression models because it was recently shown that lipid standardization models are highly prone to bias (Schisterman et al. 2005).

For Figure 1A, the adjusted model will produce unbiased estimates without regard for the degree of standardization, while the standardized model is conditional on standardization being sufficient.

In creating a standardization framework for animal model characterization, MJFF's goal is to provide guidance to the PD research community as to the best practices for the use of animal models.

While many options have been explored in the search for robust, high-throughput analytical techniques to efficiently screen biomass via multivariate modeling, attempts to compare one lab's results with another can be enervating due to the lack of standardization in model construction and in the statistics reported for model critique (Table  1).

To increase the reusability of existing published models, there has been a significant drive toward standardization of model encoding, interoperability, distribution, and reuse.