Sentence examples for multivariable analyses controlling from inspiring English sources

In multivariable analyses, controlling for region of residence and year of SHAS interview, preliminary models included factors that were associated (p≤0.10) with nonadherence to primary PCP prophylaxis in bivariate analyses.

Additionally, given the small sample size, multivariable analyses controlling for covariates were not conducted.

Results were unchanged in multivariable analyses controlling for age, sex, race/ethnicity, use of loop diuretics and hemoglobin A1c levels (Table  3).

In multivariable analyses controlling for age and FEV1, females reported poorer global health, mental health, and general health perceptions (p < 0.05; Table 3).

In multivariable analyses controlling for insulin regimen, dose, and oral agent use, preinsulin A1C was responsible for nearly all the explained variance in A1C change.

In multivariable analyses controlling for FEV1 and age, we found that female gender was associated with significantly lower global health (p < 0.05), mental health (p < 0.01), and general health perceptions (p < 0.05) scores.

Multivariable analyses controlled for the confounding effects of predefined covariates.

Additional multivariable analyses controlled for socioeconomic position and the number of previous depression symptoms.

All multivariable analyses controlled for age, height, vertebral fractures, and total hip BMD.

Furthermore, while the analyses were not conducted separately for patients with type 1 or type 2 diabetes, all multivariable analyses controlled for differences in diabetes type.

Multivariable regression analyses controlling for demographic variables and perceived health indicated that CPG adherence was related to better functional outcomes, Odds ratio (OR) = 1.45 [95% CI = 1.31 1.60] and lower healthcare costs (β = −230.15, p < 0.001).