Sentence examples for matching and adjustment from inspiring English sources

Following propensity matching and adjustment, use of NSAIDs were not significantly associated with any increase in major complications (OR 0.90, 0.60-1.34, p = 0.560).

After matching and adjustment, RRT was not associated with a reduced hospital mortality.

Carrying out a meta-analysis where we used estimates ignoring matching and adjustment (where possible) gave very similar results to those where we did allow for matching and adjustment.

The association of statin continuation with outcome was evaluated for crude analysis and after propensity score matching and adjustment.

These findings, together with the reasonably low between-study heterogeneity, imply that our combined estimates are reasonably robust to differences in matching and adjustment between studies.

Consequently, PCI had a strong association with improved survival in our octogenarian cohort despite PS matching and adjustment with Cox proportional-hazard regression.

Although the study groups were matched, and adjustment for the matching factors revealed no residual confounding, the risk of confounding by unknown factors related to women's choice of care in labour persists.

Additional techniques from the contemporary evaluation toolkit include: use of propensity scoring for matching and covariance adjustment, multilevel modeling, alternate estimates of the counterfactual, and sensitivity analyses to empirically test the plausibility of validity threats.

Methods for estimating the treatment effect while accounting for the propensity score include stratification, weighting, matching, and regression adjustment Guo and Fraser (2010).

Despite our hypothesis-driven study that included many potential risk and confounding factors, and our exclusion of survivorship and other potential biases by matching and statistical adjustment, the association between CXCR4-tropic virus and breast cancer may be spurious due to an unmeasured viral or other exogenous or endogenous risk factor.

We used propensity score methods to circumvent the problems with traditional methods of matching and covariate adjustment when the number of confounders is high between the comparison groups [ 11, 12], as is the case in this study.