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Univariable and multivariable analyses evaluated the association with overall survival (OS), adjusted for prespecified clinical variables.
Similar multivariable analyses evaluated GWI risk in veteran subgroups defined by whether they had been in Iraq or Kuwait during deployment.
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In multivariable analyses evaluating the clinical correlates of log-leptin, BMI (partial R = 0.26) and sex (partial R = 0.28) were the strongest correlates.
In multivariable analyses, we evaluated linear trends in risk by treating heme and nonheme iron intake as continuous variables after assigning a score to each quartile.
A further limitation of our use of aggregate census data for denominator or comparison group data in this study was that we were unable to perform multivariable analyses to evaluate and control for confounding effects of variables such as parental age and other perinatal risk factors [41].
We used multivariable analyses to evaluate the strength of the association between language restriction, author contact, and the AMSTAR score.
Tumour grade was also added in the multivariable analyses when evaluating the independent effect of Ki-67 LI, molecular subtype and treatment.
We performed univariable and multivariable analyses to evaluate the association between the histological features of DCIS and the development of any local recurrence, DCIS recurrence and invasive recurrence in women treated by BCS alone.
Sensitivity analyses evaluated model robustness.
Both univariate and multivariable analyses were used to evaluate factors associated with OS.
Multivariable analyses were conducted to evaluate the association between CAM users and vaccination status, adjusting for demographic and healthcare utilization characteristics.
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