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After estimation, we use the linear model with coefficient estimates to derive the marginal effects of unit changes in the managed care or poverty variables in each of the regulatory regimes, and report these at the bottom of the tablesc.
We use the linear model: T_{cti} = alpha U_{ct} + beta_{C} C_{ct} + beta_{F} F_{cti} + mu_{c} + mu_{t} + varepsilon_{cti} (1 where achievement T in country c at time t for student i is a function of home computer use (U), other time-varying country characteristics (C), and individual student characteristics (F) such as family background and gender.
That way b is a function though, and we can't use the linear model.
Our goal was not to make a predictive model, but to use the linear model as a tool to study associations and make inferences about evolutionary mechanisms.
As this is biologically unsound, we chose to use the linear model to adjust log10 sCD25 for age-at-diagnosis and log10 C-peptide concentrations for duration-of-disease.
Both RR and BayesC π use the linear model where y i is the phenotype of individual i, x ij is the allelic state at marker j in individual i, β j is the effect associated with marker j, δ j is a 1 or 0 indicator variable for the inclusion or exclusion of marker j in the estimation of breeding values, and e i is a residual.
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Analytical solution for the problem of frictional-elastic collisions of spherical particles using the linear model.
Figure 7 presents product variation with cell growth and substrate consumption using the linear model and Fig. 8 using the exponential model.
We assessed this hypothesis using the linear model given above with only N2 and MA24 included.
Identification of significant differentially expressed genes was determined using the Linear Model for Microarray Data (Limma) package in Bioconductor [19].
We used the linear model "~0 + time-point + AML1-ETO".
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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