Sentence examples for methodologies adjusting for from inspiring English sources

Using the same restriction as for Table  3, Additional file 5: Table S4 compares geocoding methodologies adjusting for covariates, which reduced sample size further.

In both SNP-SNP and gene-gene interaction assays, we chose to use a nominal level of P <0.01 as the cutoff to identify important SNP pairs or gene pairs because no suitable methodologies for adjusting for multiple correlated tests of massive SNP pairs (or gene pairs) were available, which may have led to false positives.

The onset of efficacy was defined as the first timepoint where the paliperidone palmitate group showed significant improvement in the Positive and Negative Syndrome Scale (PANSS) score compared to placebo (Analysis of Covariance [ANCOVA] models and Last Observation Carried Forward [LOCF] methodology without adjusting for multiplicity) using data from the Days 4, 8, 22, and 36 assessments.

Additional sensitivity analyses were performed using propensity score methodologies to adjust for imbalances between the R-maintenance and observation groups.

Our investigation adds to the growing body of knowledge on measuring comorbidity by highlighting the different results that may be obtained when using different methodologies to adjust for comorbidity in studies assessing QOL outcomes.

We have extended the PLS regression methodology to adjust for covariate effects that may influence spatial and temporal aspects of the functional image data over the brain volume.

In this paper, we use an extension of propensity scores methodology to adjust for potentially confounding variables so as to evaluate whether HAART plays a role in liver disease progression in HIV-infected patients with and without HCV by modeling the dose-response function of APRI to HAART exposure.

We used IPTW methodology to adjust for these and other confounders and achieved cohort balance after weighting.

Furthermore, we utilised well described statistical methodology to adjust for differences in the distribution of covariates between surgical and radiotherapy cohorts and to account for competing risks of mortality.

Second, we deployed innovative statistical methodology to adjust for changes in the accuracy of the testing device by allowing uncertainty in the knowledge of the level of sensitivity and specificity in the adjustment process.

The methodology allows within-subject comparison while adjusting for various time trends such as seasonality and day of week.