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We used categorized attributes selected from the Minimal Data Model for Cardiology (MDMC).
The dependent variable was defined as the type of service used, categorized under public and private use.
However, we used categorized levels of OC, which were then only marginally correlated; the highest rank correlation was for the PCB and HCB groups (rSpearman = 0.46).
We used categorized changes in TP (−1 = decrease, 0 = no change, and 1 = increase) as factors and differences (t2 minus t1 data) in health-related outcomes as dependent variables.
Subanalyses were performed to investigate possible associations between the extent of codeine use (number of days used, categorized as 1 7 days, 8 14 days, and >14 days) and pregnancy outcome.
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A qualitative analysis of searcher comments identified seven tactics that participants reported adopting when using categorized overviews.
A study of 24 sophisticated users carrying out complex tasks suggests how searchers may adapt their search tactics when using categorized overviews.
Logistic regression analyses, using categorized data, were used to determine the Odds Ratio (OR) for elevated arterial blood pressure.
These findings illustrate some of the shortcomings of traditional analyses of change, especially when using categorized variables.
* Using Likert scale response option: 0-4 (van Wijngaarden et al 2000) ** Using categorized scale: 0 - 1 (van Wijngaarden et al 2003).
We did not include studies using depressive scale as a continuous variable because the risk estimates were not comparable with studies using categorized depression measures.
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