Sentence examples for generating marginal from inspiring English sources

This represents an important insight for industrial policy since producers have to be very careful in their pricing strategy in order to avoid generating (marginal) losses of market shares.

Numerous studies have combined SNPs identified in genome-wide association studies to generate risk scores for CAD, in some cases generating marginal improvement on traditional risk models [ 1, 11, 12].

Since financial crises are associated with long-run losses in GDP, a reduction in the probability of a crisis generates marginal benefits.

TEACHING matters:A teacher one standard deviation above the mean effectiveness annually generates marginal gains of over $400,000 in present value of student future earnings with a class size of 20 and proportionately higher with larger class sizes.

Figure 2 presents the different options to generate marginal energy reduction cost curves.

In this situation the non-linear models are expected to generate marginal effects close to OLS because the underlying nonlinear conditional expectation function is roughly linear in the middle (see, for example, Angrist and Pischke 2009).

That is, these allele frequencies generated marginal penetrances for each SNP that were equal.

These preliminary simulations generated marginal distributions that facilitated the choice of parameter values used in the final IM analyses.

The addition of NT-proBNP to the SHFS (0.818 versus 0.796, P=0.168) generated marginal growth in the c-statistic.

We also generated marginal effect plots with associated uncertainty intervals and relative contribution statistics (how often each covariate was selected during the model fitting process) as quantification of the sensitivity of the model to the different covariates.

(in the Methods) "We also generated marginal effect plots with associated uncertainty intervals and relative contribution statistics (how often each covariate was selected during the model fitting process) as quantification of the sensitivity of the model to the different covariates.