One version of the model, which recognizes the increasing support for same-sex marriage over time but treats the increase as slow and linear, projects that the North Carolina amendment will pass by 19 points.
The study uses the Nested Multiple Discrete Continuous Extreme Value (MDCNEV) model, which recognizes that time-decisions entail the choice of participating in one or more activity purposes along with the amount of time to invest in each chosen activity purpose, and allows generic correlation structures to account for common unobserved factors that might impact the choice of multiple alternatives.
In addition, a focus on clinical governance [ 3] requires "a model which recognizes clinicians' central role in the design, provision, and improvement of care" [ 4].
The interventions will be based on the Transtheoretical model, which recognizes that behaviour changes are dynamic processes that move through stages and reinforces change via goal setting, skill development and self-control [ 39].
We discuss the implications of these for the intervention's underlying theories, argue for an ecological model which recognizes the role of structural factors, including culture, and recommend future behavioural interventions.
The intervention was guided by the social contextual model, which recognizes that individual, interpersonal, community, and organizational/systems-level factors influence health behaviors, and explicates the role that social contextual factors have on health behaviors across these different levels [ 25].
Models which recognize ceiling effects (effectively considering the scores to be censored above) involve very strong assumptions.
One solution for this problem is that for the points which recognize as a background model pixels, updating carry out with low forgetting coefficient and in the point which moving object recognize, updating carry out with high forgetting coefficient [21].
Participants described a biomedical model of infertility which recognized psychosomatic stress and lifestyle determinants.
We pooled studies for each drug using the DerSimonian-Laird random effects model [ 16], which recognizes and anchors studies as a sample of all potential studies, and incorporates an additional between-study component to the estimate of variability [ 17].
