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In this paper, we modeled the change point estimation for a Poisson process in a Bayesian framework.
In this application two variables are modeled: the change in firm i's investment to capital ratio at time t (Δ I it ), and the financial status of the firm at time t (W it ).
In models with antenatal depression as primary predictor, we modeled the change in HAZ from birth through age 3.
In models with postpartum depression as primary predictor, we modeled the change in HAZ from age 6 months to 3 years.
In other words, the observations were sampled finely enough to make direct regulatory interactions resolvable from indirect ones; 2) our approach was centered around the target gene; we modeled the change in rate of expression of each gene separately, i.e. we assumed an un-coupled system of ODEs.
Each set modeled the change in the HRQL measure, and each set included the following terms: glycemia intervention, secondary trial assignment, prior CVD at baseline, the baseline HRQL measure, time, and a time-by-glycemia interaction term.
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We therefore modeled the changes in genes in the hematopoietic pathway over this period of ontogeny.
A good way to confirm that is to model the change for the employees and solicit feedback.
However, we did not model the change in diameter and cannot predict with confidence how it might affect the rate.
An exponentially decreasing input function was defined to model the change of culture medium.
Fortunately, there are existing programs on which to model the changes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com