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The relationships between each ecosystem attribute and pressure should be established formally by confronting the data (or model output) with alternative mathematical functions and performing a model selection analysis.
When performing a model reduction analysis it is indispensable to determine beforehand which properties of the system are to be maintained in the simplified model.
Renard and his colleagues recently performed a model based analysis of the bronchodilatory dose response to indacaterol in patients with COPD [ 25].
We performed a model selection analysis to determine whether and how the above habitat variables might be related to observed variation in selection among study sites.
This strategy was in line with a study showing that it is not necessary to handle missing data using multiple imputations before performing a mixed model analysis on longitudinal data.
In this article, the two approaches are described and compared, and guidelines are given for when, and how, one should perform a model-based analysis of survey data.
We performed a model-based analysis that simulates screening of tetanus immunity and risk of tetanus based on prophylaxis administration.
In addition, we performed a model-based analysis of the responsiveness and amplification of the system, for which we propose a formal definition of these variables.
Within the field of longitudinal data analysis, there is a current debate on whether it is necessary to use multiple imputations before performing a mixed-model analysis to analyze the longitudinal data.
To identify the combination of scales and items with the most precise predictive value for CG, we performed a multivariate model analysis.
As all colectomies contributed eight lesions to our analyses we also performed a mixed model analysis that considers the natural variation between each patient.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com