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As further exploratory analyses, hypothesised relationships between specific disease categories and individual items on the RCS were also examined, as well as interactions between cognitive and physical disability as disease category predictors.
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This recurrence score category predictor is available online [ 13].
Where >75% of respondents fell into a single response category, predictor variables were dichotomised for analyses.
In addition, we verified the need to create a fourth category, by comparing the 4-category against the 3-category predictor (our minimum proposal).
We therefore created a 10-category predictor using values of 0, 1, 2, 3, 4, 5, 6, 7, 8 29 and 30 days.
Statistically significant differences were found between both AUCs (p = 0.0004), with the AUC value for the 3-category predictor being 0.779.
For the second question, on the impact of poor health on usual daily activities, we created a 10-category predictor using the same 10 categories as the mental health status variable.
One category of predictors attempts to identify conformationally flexible regions through analysis of protein tertiary structures.
Another category of predictors works completely based on analysis of the polypeptide sequences.
In the multiple regression analysis, province, age younger than 35 years, public sector employment, and professional nursing category were predictors of feeling tired (Table 3).
However such evaluations, in most cases, focus on a single category of predictors (e.g. need, demographics or policy factors) and are mainly in developed country contexts in which medicines are provided through health insurance.
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