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Exact(12)
Analysis using Fisher's exact test Table 3 The results of the multivariable analysis based on Observer 1's category scores analysis indicated some evidence that all four factors were significantly associated with the outcome (Model 1).
As a result, univariate analysis encouraged a multivariable analysis based on disease and patient factors.
In multivariable analysis based on demographic summary data, black-African ethnicity and younger age remained significantly associated with not being in receipt of care in 2011.
Variables with a probability value of <0.1 in the univariable analysis were included in a stepwise multivariable analysis, based on a linear regression model.
Only a multivariable analysis based on a larger series will be able to assess the combined effect of BM GD2 positivity and the other known major risk factors.
Only significant factors in the bilateral analysis were subsequently fitted into a multivariable analysis based on a stepwise-backward selection procedure.
Similar(48)
Multivariable analysis was based on patients having information on all the study variables required for model building (significant on univariable analysis or having biological significance).
In addition, since the multivariable analysis was based on participant beliefs concerning the reasons that "people" do not vaccinate their children, these responses do not necessarily reflect participants' own reasons for not vaccinating their children.
Inclusion of variables into the multivariable analysis was based on factors in bivariate analyses that either had p ≤ 0.2 or known potential cofounders or factors associated with knowledge from previous studies.
It also develops a framework for numerical aging analysis based on multivariable field test data.
As explained earlier the variables for the multivariable analysis were selected based on theory and prior research.
Related(11)
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