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Our exploratory economic model analysis has a number of limitations.
To confirm the analytic result of the accuracy of Laplacian estimate increasing with the increase of n and to assess the significance of this gain in accuracy for practical applications finite element method model analysis has been performed.
Our model based hypotheses generation approach presented herein, has initially highlighted the need for a conformational change within the Delta/Notch pathway in order to reach a resting state resembling differentiated cells and more importantly through model analysis has identified the parameters that could mediate such an effect.
Our model analysis has cast significant doubt upon the validity of both of these hypotheses.
Using the data as is within a mixed model analysis has a lower type I error and higher power than any type of imputation method used for missing data, which would be needed for a repeated measures ANCOVA.
However, a health economic model analysis has shown that addition of sitagliptin to metformin was cost saving compared to sulfonylurea or a thiazolidinedione in patients with inadequate glycemic control on metformin alone.
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With the increasing attention to the problem of endogeneity and heterogeneity and the progress in research methods, time-series data (such as the dataset of NLSYW1968-1988) and fixed effects model analysis have become important ways to study parenthood in recent years (Weinshenker 2015).
Individual and pooled OR estimates derived from a random effect model analysis have been illustrated in a forest plot (figure 2).
The method presented in this work, called ESLiM (Exon Splicing by Linear Modeling Analysis), has been implemented in R (http://cran.r-project.org/).org/
An analytical vehicle model and MATLAB simulation analysis has been discussed.
As sensitivity is a key property for inferring the plausibility of the model, sensitivity analysis has been used to explore the significance of the model's complexities regarding multi-loop structure and nonlinearity.
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