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The models were analysed using the MIXED Procedure with the SAS System (version 9.1.3; SAS Institute Inc., Cary, NC).
The models were analysed using simulated data sets, and applied to a real data set on plant traits, from rainforest plant species in Northern Australia.
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The performance of the models was analysed using an external data set extracted from WOMBAT.
The causality aspect of the model was analysed using Granger causality tests.
The model is analysed using a combination of numerical simulations and a comparison principle.
The safety performance of the model is analysed using Hazardous Event Frequency (HEF) to evaluate the frequency of entering a hazardous state that will lead to an accident if the situation is not controlled.
The multivariate Cox models were obtained by stepwise forward inclusion of the covariates and statistical significance of the model was analysed using the Wald test.
41 According to recent guidelines, the model was analysed using second-order Monte-Carlo simulation to reflect uncertainty in the model inputs.
The adequacy of the model was analysed using a global index that was responsive to sample size and complexity of the model (root mean square error of approximation - RMSEA), as well as an incremental index that was less dependent on the sample size (comparative fit index - CFI).
The model was analysed using COPASI by adopting a continuous interpretation of the variables, with values that represent concentrations of molecular species, and a deterministic interpretation of the reaction rates, so that the reaction rates provided in the previous tables represent variation terms in the first time derivative of the concentrations.
The resulting models were analysed using PyMOL program (Version 1.1).
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CEO of Professional Science Editing for Scientists @ prosciediting.com