Sentence examples for multiple covariates that from inspiring English sources

The data were first adjusted for age and gender and then for multiple covariates that might confound the relationship between the SUA and NAFLD.

Although the results were adjusted for multiple covariates that might be associated with NT-proBNP levels, the possibility of residual confounding still remained.

Fourth, though the results are adjusted for multiple covariates that may be associated with hsTnT levels or with altered vascular properties, the possibility of residual confounding remains.

Evaluating multiple covariates that are moderately or highly correlated (e.g., creatinine CL and weight) may also contribute to selection bias, resulting in a loss of power to find the true covariates.

Having nearly 5,000 subjects to analyze afforded us statistical power to assess multiple covariates that other reports could not take into consideration.

21 22 We included any of the above covariates with P<0.3 in a backward stepwise logistic regression modelling procedure to determine multiple covariates that, together, had a significant effect on the outcome, while holding the trial and elective single versus double embryo transfer effects fixed.

Additional ANCOVA models (Table 4) for LF/HF with step-wise adjustments for multiple covariates showed that the interaction effect (activity type × group) remained significant after adjustments; only age and gender came out as significant covariates in the model.

In the OLS approach the problem of the endogenous independent variable "friends" is inadequately solved by specifying multiple regression models with covariates that are assumed to capture all potential selection (and omitted variables) problems.

Using multiple linear regression analysis, we identified covariates that explained variance in log10 sCD25 and log10 C-peptide concentrations (age-at-diagnosis and duration-of-disease, respectively; electronic supplementary material [ESM] Table  1, ESM Figs  1 and 2).

Using this parameter, the algorithm deconvoluted the β-values using a design matrix specifying patient pairs and sample histology, and generated bootstrap-derived CpG-specific P-values (not corrected for multiple testing) and covariates that correspond only to a 'phenotype-specific' methylation signal with no cell mixture effects as previously described [ 32].

We will use multiple techniques to deal with missing values in covariates that are candidates for inclusion in multi-level models.