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In recent years, the impact of the model-driven engineering (MDE) paradigm has resulted in the advent of a number of model-based methodological proposals that leverage the use of models at any stage of the development cycle.
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To this end, we introduced two novel methodological developments: (i) a hidden Markov model-based similarity measure and (ii) an approach that summarizes several similarity statistics on the pathway level.
Training will cover methodological and technological aspects of the project, and model-based training exercises will cover a number of drug-development scenarios across a variety of therapeutic areas.
In this article, we present a list of 10 specific issues that we argue pose specific methodological challenges that require careful consideration when designing and conducting robust model-based economic evaluations in the context of personalized medicine.
The congruent results between model-based and parsimony methods for these clades also lend support to this conclusion, as methodological incongruence is another indication of possible long branch attraction artefacts [ 16].
We hope that this will not only stimulate scientific and methodological innovation but also contribute to broader application and better integration of model-based approaches in drug discovery and development.
Methodological approaches were described with a view to identify common challenges and possible improvements for future model-based economic evaluations of NPIs for dementia.
The methodological, clinical, and epidemiological factors influencing results of vaccine trials for AOM prevention were reviewed and a model-based approach was developed, in order to assess the relative efficacy of different vaccine formulations.
Model-Based Calibration (abbr.
Model-based engineering.
Model-based radiostereometric analysis.
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