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We conducted three separate stepwise multivariate linear regression models with valid and reliable measures of falls risk, general balance and mobility and cognitive status as the dependent variables.
Two groups of potential inhibitory compounds were identified, one from lag-phase models and the other from Glu CR and EtOH PR models, through constructing statistical models and analyzing the compounds that contribute the most to the models with valid phenotype predictions.
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To test hypotheses based on this novel model, studies with valid exposures measurements, biological material suitable for all "–omics" analyses, and a design that takes into account the time order principle of causality are a prerequisite.
Particular attention has been paid in order to approximate the frequency depended model, with a valid, frequency independent one, in order to design a robust sliding mode controller.
In this paper, a previously published phenomenological model with a valid mechanistic background is further elaborated and embedded in a vehicle simulation software (ADVISOR).
Compared the results of numerical calculation to the results of dynamic test, it is obvious that the numerical analysis method can reflect the dynamic characteristics of the scaled-down model with a valid margin of error.
Particular attention, has been paid, in order to approximate the frequency dependent μCB model, with a valid, frequency independent one, that would be incorporated in the design of a robust sliding mode controller.
Public health practitioners have emphasized the need for models with credible and valid assumptions [ 1].
We present MILP models for each step, together with valid inequalities strengthening both models.
Both CoMFA and CoMSIA provide statistically valid models with good correlation and predictive power.
Both CoMFA and CoMSIA provided statistically valid models with good correlative and predictive power.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com