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Associations of biomarker levels with poor outcome were tested with repeated measures analysis of variance, logistic regression and receiver operating characteristic (ROC) curves with area under the curve (AUC) analysis.
Differences in outcome were tested with the log-rank test.
Comparisons of treatment outcome were tested for statistical difference by the paired t tests.
Interactions between COPD-status and age at inclusion, year of birth, sex, SES, immigration status, the level of diagnosis and prior hospitalization on outcome were tested by entering interaction terms to the fully adjusted COX model.
Differences in outcome were tested for statistical significance by the log-rank test for different common end points.
For this reason, potential interactions between the variables in relation to outcome were tested using the basic independent variables as described above.
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Its outcome was tested in two pilot projects.
The primary outcome was tested for non-inferiority whereas the remaining outcomes were tested for superiority.
Association with response and outcome was tested for all parameters.
Only the primary outcome was tested for non-inferiority.
Each outcome was tested against the pooled proportion of the other possible outcomes.
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