Sentence examples for adjustment estimates from inspiring English sources

Upon multivariable adjustment, estimates were mildly potentiated; significant adjusted associations were observed for all-cause mortality (7 % greater risk), heart failure/volume overload (14%% greater risk), and MACE+ (14%% greater risk).

In these latter studies propensity score adjustment estimates were consistent with multivariate adjusted results while instrumental variable analyses were marginally different suggesting some residual unmeasured confounding in the propensity score and multivariate adjusted analyses.

Upon multivariable adjustment, estimates were slightly potentiated but qualitatively similar.

The empirical Bayes adjustment estimates a variance prior based on all genes or miRNAs on the array, and then reduces the by-gene estimates towards that prior [ 48].

Apart from the effect of age adjustment, estimates were robust to numerous combinations of covariates, including income, education, active and passive tobacco smoke, cardiovascular prescriptions, vitamin intake, and physical activity.

In theory, if this variation was closely related to coding intensity in hospitals, the cluster effect would suffer an important reduction when the number of secondary diagnoses was considered as a factor in the multilevel models; otherwise, it would be very much related to the patients, thus affecting the risk adjustment estimates.

Figure 11 plots the predicted daily energy delivered by the solar thermal power plant based on the TMY3 dataset, the cosine adjustment, estimated efficiency, and aperture area (1050 m2), while Fig. 12 gives the monthly total energy output, a more stable predictor.

The propensity score matched adjustment estimate is somewhat larger in magnitude compared to the result from traditional regression analysis.

After adjustment, estimated FSH levels were 31% higher (95% CI: 5, 64%) in the high-PFOA group than in the low-PFOA group.

Second, when the adjusted estimates were unavailable, the calculated estimates without adjustment were likely to have potential confounding.

Where trial authors had not adjusted for clustering, we performed an approximate adjustment using estimates of the ICC derived from similar studies (Table 2).