covariates in a sentence

1. Baseline values were used as covariates.

2. Non-significant covariates were removed from the final models.

3. Pre-treatment covariates can also be included in the analysis stage.

4. “Indeed, there is a drastic fall in the hazard ratios (HRs) after allowance for covariates.

5. The values of any spatial covariates (other than the Cartesian coordinates) required by the model.

6. Because covariates are not controlled in experiments, they can vary across replicate measurements.

7. For example, in a multiple regression analysis we may include several covariates of potential interest.

8. And, of course, there are enough covariates that have a lasting impact on the success of such a campaign.

9. In General MANOVA, Minitab displays coefficients for the constant and the covariates for each univariate analysis.

10. It relates the time of an event, usually death or failure, to a number of explanatory variables known as covariates.

11. ORs were computed by conditional logistic regression with years of education and living in an urban area as covariates.

12. Gene expression was analyzed using microarrays and two different normalization procedures to control for technical and biological covariates.

13. However, after further adjustment for body mass index, cigarette smoking and other covariates, no association with red meat consumption was found.

14. The researchers found that children were 5 percent less likely to be attributed to an FP practice over time when controlling for all other covariates.

15. Both probabilities, which can be adjusted by covariates, range from blue (high probability) through grey (average) to red (low probability) at a circle.

16. Finally, when deciding whether to try to include pre-treatment covariates at the design or analysis stage (or both), there are a few factors to consider.

17. In case the randomization procedure seems to be defective: can and should one calculate propensity scores and include them as covariates in the main analyses?

18. We showed that regression adjustment could dramatically remove residual confounding bias when it included all of the covariates with a standardized difference greater than 0.10.

19. However, even after taking account of traditional and nontraditional covariates, moderate alcohol consumption continued to show a beneficial effect in predicting mortality risk.

20. For comparison of main outcomes, propensity score matching was performed to balance the covariates across groups; 39,936 patients were retained in the treated and untreated groups.