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All statistical analysis was performed using Anova on multiple variable analyses and Student's t-test on paired analyses.
Multiple variable analyses were conducted using stepwise standardized logistic regression (SLR) with odds ratios and 95% Confidence intervals (CI).
Breastfeeding status and presence of visible plaque in upper anterior teeth did not maintain statistical significance in the multiple variable analyses.
Multiple linear regression was used in the multiple variable analyses with PCS and MCS, respectively, as dependent variables in the whole population and in the subpopulation with COPD.
Multiple variable analyses, which concerned only CD in the non-European theater, showed small changes whereby the disease rate for LNP changed from 0.78 to 0.80 and for latitude from 1.58 to 1.74.
In multiple variable analyses, HR and 95% confidence intervals (95% CI) adjusted for race, number of hospital admissions, obesity, diabetes, and COPD were calculated using Cox proportional hazards modelling.
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Multiple-variable analyses were conducted using standard logistic regression with odds ratios (ORs) and 95% confidence intervals (CIs).
Here we present single variable and multiple variable scenario analyses of the supply of health workers in a model that uses health workforce to population ratios to understand minimum staffing requirements in Zambia.
Both univariable and multiple variable regression analyses investigating ocular biometric parameters in phakic eyes showed small eyes were associated with shallower ACD, steeper corneal keratometry and higher spherical equivalent (all p<0.001, table 3).
Fourier differentiation (FD) provides higher order sensitivities by conducting an FFT analysis of multiple complex variable analyses around a sampling radius in the complex plane.
On the basis of controlling for multiple variables, our analyses suggested that age, residence, profession, "awareness of PMS", "knowledge of PMS" and "attitudes towards PMS" are all significantly associated with participation in PMS.
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