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In the main analyses, however, gender and age were adjusted for, categorically, through unconditional logistic regression.
The significant associations in the main analyses, however, were systematically distributed with regard to both the exposure and the outcome.
In clinical trials, it is appropriate to pre-specify the main analyses; however, in clinical non-intervention research, the reverse is the case.
Results were similar to the main analyses, however, when we additionally adjusted for hypertension (defined as physician's diagnosis, systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥ 90 mmHg) at baseline or HDL-C.
The main analyses, however, used only one (average) measure of agreement for each study: the average ICC alone; the average ICC, correlation and/or kappa coefficient in each study where multiple coefficients were presented; and the average scaled mean difference.
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However, the main analyses in this study were made around the effects attributes of OHQoL-UK©.
However, the main analyses were based on a clear hypothesis, and the different tests were related (not independent).
However, the main analyses will be based on cumulated lifetime dose that will have priority for answering the main research question.
In the main analyses of exposure and effect biomarkers, however, we made only a few comparisons, and the issue of chance findings due to multiple comparisons was minor.
Variations between subgroups, however, remained similar to the main analyses (see online supplementary table S1).
However, all women were included in the main analyses.
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