Sentence examples similar to confounding variable analysis from inspiring English sources

This remained significant after adjusting for confounding variables in analysis of the deployment questionnaire and health screening form.

After adjusting for the five known confounding variables, multivariate analysis showed that asthma severity showed a significant dose-response association with reflux symptoms (P value for trend = 0.007).

Although we found a great diversity in the assessment of outcomes and adjustment for confounding variables, sensitivity analysis did not reveal an important influence of any single study (Additonal File 2).

After adjustment for confounding variables, ROC analysis showed no significant superiority in the discriminatory powers of the three different MetS definitions in detecting poor HRQoL in physical or mental domains in either gender.

The main reasons for receiving a "moderate-low" evaluation were as follows: missing data; missing information on relevant results; unsuitable analysis strategy or lack of adjustment for confounding variables in the analysis; and lack of information on variability in the presentation of results.

Confounding variables in the analysis of the prednisone response were analysed using the Cox proportional-hazard model.

In case baseline disparities should be detected, they will be taken account of as confounding variables in an analysis of covariance (ANCOVA).

After adjustment for confounding variables using multivariate analysis, timing of presentation was not an independent predictor of mortality (HR 1.04 95% CI 0.78 to 1.39).

In order to be able to adjust for confounding variables, ANOVA and analysis of covariance (ANCOVA) were adopted when comparing AMH levels between two groups.

Multivariable unconditional logistic regression was used to control for confounding variables in the analysis of the questionnaire data, and all matched variables were forced into the model to account for the matching process.

In addition, a brief discussion of how ethnicity and hormonal status act as confounding variables in sex-based analysis will be considered along with methods for statistical analysis to account for sex in cardiovascular disease.