Sentence examples for models discussions from inspiring English sources

An additional challenge is that some people (from all roles) who vote for the VAL at GNS Science can find it difficult to understand the models, discussions involving specific phenomena outside of their own specialities, and the implications of those phenomena on the model.

The Stata and R code can be found at along with tutorials on using the code (including survival time data, multivariable models, joint and conditional models), discussions of how to interpret decision curves, and code to implement correction for overfit by repeated 10-fold cross-validation.

The other measure uses the system-generalized method of moments (System-GMM), using the second lag of explanatory variables as an instrument to adjust the models (discussion of this method can be obtained from Blundell and Bond 1998; Roodman 2009).

In adjusted models, discussion with the physician about alcohol was associated with increased readiness (+0.8, p = 0.04).

The research from the physics community stresses the importance for students to be engaged in problem solving, modeling, discussions, and other modes of involving students in their own learning.

Meanwhile, the slow, hard work of people such as Tim Brighouse, the former chief commissioner of schools, has created another proven model: discussion and co-operation between schools across a locality.

We show in the model discussion that this phenomenon is more general and applies also to other systems than graphene.

This is one area that will be investigated how do teachers feel about learner model discussion in their classrooms?

Introducing a configurational perspective to the business model discussion the study proves equifinality in business model design and advances theory concerning interdependencies within the business model construct.

We discuss a temporal coincidence between the residual gravity change and the LSSEs and try to interpret it with a simple poroelastic model ("Discussion" section).

This paper suggests the use of negotiated open learner models as a means to both maintain the accuracy of learner models comprising multiple sources of data and prompt learner reflection during this model discussion process.