Sentence examples for by multiple regression modelling from inspiring English sources

In order to identify effective components or partial goals that should be targeted in aftercare exercise programs, the time varying influence of secondary outcomes on the primary outcomes in the different treatments is modelled by multiple regression modelling.

The data will be analysed by multiple regression modelling, fitting baseline measures of outcomes as covariates.

We estimated effects by multiple regression modelling, calculating robust standard errors to take into account clustering of individual records by the common specialties (seven inpatient, 18 outpatient) within the four trusts, resulting in 28 clusters for inpatient data and 72 clusters for outpatient data.

However, the negative relationship between S factors and distance from the homestead was not as strong as expected, and yield variability was better explained by multiple regression models considering M factors such as planting date, plant density, resource use and weed infestation (40 60% across sites).

Significant associations between tHcy levels and other continuous or categorical variables, were assessed by multiple regression models estimating R2 and standardized β-coefficients.

The analytic results by multiple regression models are shown in the Additional file 2. The study findings were similar by two different methods.

Analysis by multiple regression models showed that students who cheated in high school were more likely to cheat (adjusted OR = 1. 80, 95% CI = 1. 01 3.19) and that cheating was less likely among students who didn't cheat on entrance examinations (adjusted OR = 0. 25, 95% CI = 0. 14–0.45).

A within context analysis, therefore, produces more valid measures of association than a between context analysis, the latter being confounded by unmeasured factors not controllable by traditional multiple regression modelling.

We attempted to adjust for that possibility by using multiple regression modelling in the statistical analyses when evaluating potential covariates in relation to LORA.

We tried to adjust for that by using multiple regression modelling in the statistical analyses when evaluating potential predictors of CVE.

The total amount of variance accounted for by the multiple regression model of stand density was markedly lower at 0.55.