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In each of the two models, the odds ratio of drug use was modelled in the first step and the amount of total drug expenditures in the second step.
Thanks to computer models, the odds on a freakish storm or earthquake are better known, epidemiologists are more successful at tracking diseases, and even man-made crises such as banking debacles and stockmarket crashes can be catalogued and studied to produce better (though, as we shall see, still far from perfect) forecasts.
First, we modeled each form of IPV separately in logistic regression, which models the odds of perpetrating the specific form of IPV compared with participants who did not perpetrate that form of IPV (Table 2).
In particular, in both the more simple and the fully adjusted models, the odds of elevated γ-GT more clearly increased across rising smoking intensities in the normal and overweight category.
When we divided funding source into three groups (non-industry, partial industry, and industry) and applied logistic regression models, the odds ratio for non-industry vs. industry was 6.0 (95% CI: 4.6 7.9), and the odds ratio for partial-industry vs. industry was 15.1 (95% CI: 9.1 25.1).
In unadjusted models, the odds ratio (OR) for reporting asthma associated with living in neighborhoods that were perceived to be sometimes or never safe was 1.36 (95% confidence intervals [CI] 1.21, 1.53) compared to living in neighborhoods that were perceived to be always safe.
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In fact, according to my model the odds of a team scoring seven or more goals in a match are well over 1,000 1 against.
A propensity-adjusted multivariate logistic regression analysis was then performed modeling the odds of a composite complication [32].
Modeling the odds of cluster membership (performed separately for each cluster), the findings are consistent with the pathway enrichment results.
Logistic regression was used to model the odds of the presence of each particular subtype (separate model for each subtype) with the same covariates.
For the resulting final model the odds ratios of the included effects were estimated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com