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However, country of birth may also be a proxy for unmeasured explanatory variables, since it remained significant in the multivariate model, even after adjusting for other related variables.
Both education and occupation showed significant impacts on household income in 2008 (both p values ≪ 0.001 in a generalized linear model), and household income was selected for the multivariate model even though its univariate p value was ≫ 0.25.
In our study, the polymorphisms that we found to be associated with the level of alcohol consumption by humans continued to have an influence in the multivariate model, even when current alcohol dependence and alcohol abuse were accounted for.
We also forced demographic (gender, age, deprivation) and clinical (number of conditions, health status, HADS) variables into the multivariate model even if they were not significantly correlated with the outcomes.
The risk of resistance to any antiretroviral class was not influenced by the use of TA-including or sparing regimens or by the use of FTC rather than 3TC in the multivariate model, even though a lower prevalence of any NNRTI resistance was found in subjects assuming FTC compared to 3TC (52.6% vs. 61.2%, p = 0.012).
However, due to poor performance for prediction of the INT type in PDAC / DBDAC location (0%-13% correct prediction for univariate and 19% for multivariate model), even a multivariate model including all three markers only achieved 51% correct prediction for the INT type when applied to the total patient collective.
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Gestational MUAC and maternal HIV status (HIV-positive mothers = 39%%) were associated with infant WAZ and LAZ from birth to 6-months in multivariate models, even after adjustment for infant feeding practices.
This survival benefit was borne out in a multivariate hazards model even after adjusting for stage.
MiR-31 was validated as a marker for lymph node metastasis in an external validation cohort of 233 lung adenocarcinoma cases of the TCGA and was demonstrated to be a significant predictor of survival in a multivariate cox regression model, even when controlling for tumor stage.
In these cases, the impact of admission to SU on outcomes is overestimated by multivariate logit models even after controlling for case-mix.
We find evidence of overt selection into SU in some cities, and, in these cases, find that the impact of admission to SU on outcomes is overestimated by standard multivariate logit models even after controlling for case-mix.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com