Sentence examples for multivariate regression containing from inspiring English sources

Of particular importance, this partial, illustrative version of the method does not include any adjustment to account for the association of the introduced variable (glaucoma diagnosis) with outcome (using information estimated from a full multivariate regression containing the other propensity score covariates).

To build a multiple risk factor model, we used multivariate Cox regression containing all predictors as candidate variables, since factors that are not univariately significant may nevertheless become significant when included together in the model.

To correct for confounding, a univariate Cox regression model with only school included as a determinant was compared to a multivariate regression model containing all possible confounders.

For both 2-year DFS and LRFS, the multivariate regression model containing the CAP definition had a lower AIC and therefore was more prognostic.

Compared with classical multivariate regression, PLS regression enabled correlated variables and observations containing missing data to be taken into account.

Upon comparing the multivariate logistic regression model containing age and BE status with the nested model containing age alone, the multivariate model did not provide significantly better fit by the likelihood ratio test, although the p value was minimally greater than 0.05 (chi-square test = 3.55, corresponding to a p value of 0.0595).

A multivariate linear regression equation containing photochemical reflectance index (PRI and REE for T. latifolia explained 93% of TA variation (P<0.001) when 0.10

Multivariate logistic regression models containing both SNPs suggest that the trend involving -509 is not independent of +868 and may be due to LD.

In a multivariate logistic regression model containing all published studies (n = 392), negative outcomes were less likely to appear in high impact journals (OR 0.5, 95% CI 0.3 0.6).

For gestation week and third-trimester analyses, a multivariate logistic regression model containing all individual HAAs as continuous variables was used to evaluate the possible relationship between individual HAAs in increasing the risk of growth-related outcomes.

In a separate alternative multivariate logistic regression model containing gender, previous CV disease and the Framingham risk score as covariates, the odds ratio for developing RA in subjects with previous CV disease was 1.65 (1.21 to 2.24) (P <0.01).