Sentence examples for models and marginal from inspiring English sources

Table 5 Estimation results of Probit models and marginal effects   Model 1 Model 2 Model 3 Model 4 Model 5   All Italian Immigrant First generation Second generation   Coeff.

We indicate the magnitudes of the associations between the key policy variables and the dependent variables by calculating elasticities from the cost models and marginal probabilities from the logistic models.

We describe the conceptual differences between mixed effect models and marginal models researchers should be aware of when extending beta regression to the longitudinal case.

Micro-simulation models and marginal structural models are new techniques that address the complex competing problems of disease severity and treatment adherence, but have only recently been applied to COPD [ 57].

One difference between the mixed-effects models and marginal models, including GEE, is that the treatment effects estimated from the marginal models show the effect of treatment averaged over the population of subjects, while mixed-effects models provide conditional estimates obtained by conditioning on the random effect.

Hazard ratios from marginal structural models comparing antidepressant users to non-users were 1.35 (95 % CI 1.21 – 1.51) and 1.27 (95 % CI 1.13 – 1.43) in the WHI OS and CT, respectively – however, differences among estimates from traditional Cox models and marginal structural models were not statistically significant in both cohorts.

Li and Sinha [7] developed a multi-criteria highway programming algorithm incorporating risk and uncertainty in asset management with asset valuation, performance modeling and marginal benefit analysis.

The impact statistical modelling and marginal prediction on the variability was apparent if one compares the variability of trial period costs in the raw vs. modelled results.

The difference in discriminative ability among the standard model and marginal and conditional risk calculations disappeared when the c-index was estimated within each anesthesiologist, because the random anesthesiologist effects included in the conditional risk calculation only contributes to discrimination of patients treated by different anesthesiologist.

In Fuchu Hospital and Urakawa Ladies Clinicc, the marginal effects of FirYearDum and SecYearDum were significantly estimated with positive signs in both models, and the marginal effects of SecYearDum were slightly larger than those of FirYearDum.

However, we reran part of our regressions with logit models and calculated marginal effects for interactions according to Ai and Norton [36].