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Surprisingly, there was no additional gain when these three top markers were evaluated together in a multivariate model rather than each separately.
Due to sample size limitations, we used the continuous ADSI score as the dependent variable for the multivariate model rather than the binary indicator (meets/does not meet CDC criteria).
We hypothesized that the availability of drug treatment services would differ significantly by SEP location (n = 23) and sought to adjust for this potential bias in the multivariate model rather than explicitly measure its effect on the outcome.
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In general, we used baseline covariate information to adjust the multivariate models rather than the change in some of these variables.
An added advantage of these OU model fitting approaches is that they allow proper multivariate models rather than fitting variables one at a time [ 55].
The advances of this study compared with the previous one are the increase in period, 1965 to 2008 compared with 1966 to1985; modelling by sex and age band as opposed to aggregate summaries of all ages and all people; and the incorporation of age and sex structure into specific comparisons by using multivariate models rather than making univariate contrasts of standardised mortality ratios.
We therefore used a multivariate logistic regression model rather than a survival analysis.
Because the two later variables were strongly correlated and could not both be included in the final multivariate model, we choose pirogue rather than fishing net, because the former may be filled with water and become a vector-breeding site when ashore and not used.
The multivariate models yielded several rather intriguing findings.
To ensure model convergence, we chose bivariate models (rather than multivariate models including all four traits, see above).
It is a multivariate model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com