Sentence examples for linear propensity from inspiring English sources

This example assumes a linear propensity score model but a logistic regression outcome model because the existing simulation demonstrating proportional confounding amplification is for a linear propensity score model.

We start with a simple test system that has linear propensity functions (i.e. a j (x)∝ x).

Since the current B-Pred implementation is based on a single parameter (solvent exposure) that is filtered on local model quality, it is reasonable to assume that the method could be further improved by the inclusion of additional structural parameters 12, 34 and/or by combining the solvent exposure, as directly determined from the structure, with classical linear propensity scales.

This analysis was extended by Li [ 36] to non-linear propensity functions by considering SDEs driven by Poisson random measures (see also [ 37]).

In the case of non-linear propensities, the moment equations contain higher moments and we obtain Eqs.

This is important, because it is clear that factors such as linear/non-linear propensities, population size and stiffness all affect each reaction and species in a different way.

Finally, we use a piecewise-linear formulation of propensity functions.

The resulting DCFTP-SSA is applicable to networks of reactions with uni-molecular stoichiometries and sub-linear, (anti-) monotone propensity functions.

We do note, however, that this effect is non-linear: an increasing propensity to use abortion (eg, high compared with low propensity) will tend to depress overall fertility behaviour.

This is because scission is a unimolecular reaction, whose reaction degeneracy, and hence its propensity, is linear in the population while the degeneracy for aggregation is non-linear [23], [24].

Differences in depression scores at follow-up between program attendees and a community sample were examined via weighted linear regression analysis following propensity score analysis.