Sentence examples for multivariate model results from inspiring English sources

Exact(7)

Final multivariate model results indicate that the traffic-PM2.5 relationship was not significantly altered by any of our candidate modifiers.

Multivariate model results were reported inconsistently in studies: some reported only significant factors, others reported all factors, and model covariates usually were not reported.

We were unable to demonstrate an effect of azithromycin on OS in the univariate model or the final multivariate model (results not shown).

Overfitting can result if a sufficient number of latent components are extracted such that the multivariate model results invariably in group separation that is convincing by visual inspection.

To assess the impact of physical activity, which could be both a confounder and a source of vitamin D, we added it to our multivariate model; results still were not significant (top vs. bottom quartile RR = 1.30, 95% CI (0.95 to 1.78), P-value, test for trend = 0.14).

Multivariate model results are reported in Table 4. Model 1 is based only on the original individual level variables from van Loo's study (8 ): contact with pigs and cows, rural versus urban residence, and information on patient's probable source of MRSA.

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Similar(53)

The final multivariate model resulted in 3 factors independently associated with AME (Table 3).

Model 1 in Table  3 is a multivariate model resulting from a backwards elimination process of a starting model containing all nine univariate predictors.

Adding MR-proANP to the multivariate model resulted in smaller increases in the Harrell C values and in lower IDI values.

Replacing COPD with FEV1 % predicted in the multivariate model resulted in the decreasing level of FEV1 being a significant risk factor for death, while heart disease was not a significant risk factor for death in any of the models.

In general, confounding was defined when inclusion of a variable in the multivariate model resulted in a change of more than 15percentt in odds ratios of factors already present in the model.

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