Sentence examples for marginal effects between from inspiring English sources

There are striking differences in the magnitude of the coefficients as well as their marginal effects between the two models.

The values reported in Table 7 represent differences in marginal effects between an applicant with and without a criminal background in the probability of receiving a positive response from an employer.

The values represent differences in marginal effects between an ex-offender and a non-offender in the probability of receiving a positive response from an employer estimated using a probit regression model.

Focusing on the other media channels, individuals watching NBC, MSNBC, or other networks appear not to be significantly different from CBS viewers in their propensity to support the more lenient immigration plan, while viewers of ABC News are systematically less likely to favor the Senate plan than CBS viewers, with an estimated marginal effect between 3 and 4 percentage points.

We assessed the marginal effect between SNPs or environmental factors on T2D with survey-weighted logistic regression, adjusting for race, age, sex, and BMI.

*The marginal effects demonstrate associations between determinants and maternal health services utilization outcomes.

We calculated marginal effects as the difference between the predicted values of hazard ratio between each treatment and age group.

The marginal effects indicate the association between the determinants and child health outcome indicator.

For binary variables, the marginal effects are the differences between the two categories of the independent variable.

To deal with multicollinearity, we also ran a proportional odds model for ordinal logistic regression to assess the marginal effects of the relationship between carer and care-recipient health given that carer health was a five-modality categorical variable.

For the main effects model estimated here, minor differences between WTP for a life saved by the median program and any other program arise simply as a function of the dependence between marginal effects and the value of covariates for the logistic regression model.