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The results of multivariable analyses, where all factors were controlled for are shown in Table 3.
Sensitivity analyses are especially important in studies that use multivariable analyses, where the effects of interactions among covariates can be obscured.
However, in the multivariable analyses, where each covariate was adjusted for all the other factors in the model, most of the crude associations were fully attenuated.
Statistical analyses were done in Stata using Chi square test and multivariable analyses where different models were compared based on Akaike's information criterion.
The difference in the dyadic ratings increased as the BMI severity increased, which was confirmed by multivariable analyses where excess body weight was associated with a greater discrepancy in the dyadic rating in the total HRQoL and emotional functioning (Table 3).
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We have compared two methods; confounder-adjusted multivariable analyses, and analyses where we used a genetic mutation (C282Y) in the HFE gene as an instrumental variable for maternal iron status.
We implemented multivariable logistic regression analyses where the dependent variable indicated the intention to participate in the future intervention.
To assess risk factors for environmental virus (H5N1) contamination, we estimated odds ratios (ORs) using multivariable logistic regression analyses, where variables with p <0.1 from the univariate analyses were included in the initial model.
The predictive value of the suggested health factors with regard to HRQL over 12 months was estimated with multivariable logistic regression analyses, where each of the health factors was controlled for sex, age and baseline SF-36.
Predictors of stunting were examined by bivariate and multivariable analyses, focusing on Lower Egypt, where a rise in stunting occurred, and Upper Egypt, where stunting declined.
'Independent' risk factors were identified from studies where multivariable analyses were conducted.
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