Sentence examples for same set of covariates from inspiring English sources

Along with the recommendation of Baltagi (2002, p. 277; see also Sect. 4) the same set of covariates were used in both stages of the IVs estimation.

Running a simple Probit model regressing the dependent variable on the same set of covariates and on the indicator of participation in training, we obtain a positive marginal effect of the latter of 9.3% points significant at a 10% level.

We use bank-level information on the amount of new loans originated quarterly as well as the interest rate charged by the bank on those operations.23 Table 6 shows the results of year-specific OLS regressions of interest rates on the same set of covariates as in Table 5.

Before discussing these results, it is important to note that in the specification of the parametric models, we do not use the same set of covariates included in the propensity score model since some regressors included in the propensity score specification are correlated with the error tern of the wage equation.

Running a simple Probit model regressing this dependent variable on the same set of covariates and on the indicator of substantial ICT and management changes, we obtain a negative marginal effect of the latter of 6.8% points significant at a 5% level.

As a first test, we run a simple Probit model regressing the dependent variable on the same set of covariates, on the indicator of ICT and management changes and distinguishing workers who participated in a training session regarding the use of new ICT tools and those who did not benefit from this training session in 2006.

The same sets of covariates were used in OLS, GLMM and QReg.

We adjusted for the same sets of covariates as described for the Cox regression models.

We evaluated the associations between these indices of exposure and children's neuropsychological test scores using analysis of covariance, adjusting for the same set of baseline covariates used in the intention-to-treat analyses.

The GPS is defined as the conditional probability of receiving a particular level of treatment 't' (hours of training) conditional on the same set of baseline covariates X used in section 6.1.

For categorical outcome measures, differences between non-remitted and remitted patients were assessed using a general estimating equation with an exchangeable working correlation matrix, terms for visit, baseline remission, visit by baseline remission interaction, and the same set of baseline covariates as used for the MMRM.