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For each category of variables, this resulted in a logistic regression model presenting variables associated with work disability at 24 months of sick leave.
This resulted in a final model, presenting variables associated with work disability at 24 months of sick leave, controlling in a hierarchical way for socio-demographics, health determinants and work-related determinants.
The presenting variables that were independently associated with 30-day mortality in a multiple logistic regression model were cancer history (odds ratio [OR], 7.4; 95% confidence interval [CI], 2.4-23.2), bandemia (OR, 7.0; 95% CI, 1.6-30.3), and serum creatinine (OR, 1.4; 95% CI, 1.1-1.8).
The presenting variables independently associated with 30-day mortality in the multiple logistic regression model were cancer history (odds ratio [OR], 7.4; 95% confidence interval [CI], 2.4-23.2), bandemia (OR, 7.0; 95% CI, 1.6-30.3), and serum creatinine (OR, 1.4; 95% CI, 1.1-1.8).
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Concurrent validity has been examined in several studies, presenting variable results [ 14- 16].
Table 3 presents variables associated with moderate or poor perceived health in univariable and multivariable analysis.
For each case vignette, the presented variables were coded for content and value (Table 2).
Table 1 presents variables in the RCT and in the cohort study, in which the RCT is embedded.
The 11 presented variables were those included in the final logistic model p Values <0.2 are detailed.
Table 2 presents variables for which a significant difference was found between groups with and without a CV event.
It presents variable optical attenuator arrays.
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CEO of Professional Science Editing for Scientists @ prosciediting.com