Sentence examples for outcomes for controlling from inspiring English sources

Make no mistake, much good has come of the recent push to hold colleges responsible for assessing student outcomes, for controlling costs, and for graduating the students we admit.

Our results provide the government with a potential solution for controlling outcomes in patients with acute myocardial infarction.

Analysis of secondary outcomes will also be conducted using linear regression for continuous outcomes and logistic regression for dichotomous outcomes, again controlling for baseline symptom severity and any potential confounders.

The univariate analysis was followed by multivariable logistic regression to examine important risk and protective factors for the outcomes while controlling for other variables.

We estimated binary or multinomial logistic regression models for each of these outcomes while controlling for gender and socioeconomic variables.

We found that SOC remained statistically significant for all outcomes (except for 2 pain outcomes), even after controlling for major depression.

Current smoking showed a protective effect on outcome of PCI in univariable analysis but it was not found to be an independent predictor for outcome after controlling for other covariates (Adjusted HR: 0.60, 95% CI: 0.35 to 1.03, p = 0.07).

Predictive margins are a type of direct standardization that allows for the comparison of group outcomes while controlling for the covariate distribution in the population.

This is in line with other systematic reviews reporting weaker associations between risk factors and health outcomes after controlling for confounders and adjustment for previous health problems [ 17].

This could have influenced the trend toward a greater change in the primary outcome for control as compared with intervention participants.

We then use linear regression to estimate differences between stayers and leavers for several employment outcomes controlling for differences in individual characteristics, X i.e., we estimate regressions of the following form: Y = θ × Stayer + Xβ + ε (1).