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Exact binomial CIs were used.
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Analyses were performed using STATA Version 9 (STATACorp, Texas USA); 95% binomial exact CIs were used.
HRQOL is measured in days, which is a count variable; therefore, negative binomial regression models with 95%% confidence intervals (CIs) were used to analyze the association between caregiving status, gender, age, education level, financial status, social support, long-term illness and recent days with poor health or without work capacity.
Ninety five percent exact binomial CIs were calculated.
Exact binomial statistics were used to calculate 95% confidence intervals (CI).
Binomial exact methods were used to calculate 95% confidence intervals (CIs) of the proportions and to test any differences in the proportions observed.
Log-binomial models were used to estimate relative risks (RR) and 95% CI [ 41, 42].
41 GLM quasi-binomial models were used to explore bivariate associations between malnutrition and independent variables, reported as crude (unadjusted) PRs with their associated 95% CIs.
Logarithmic-binomial regression models were used to determine relative risks (RRs) and 95% CIs for SGA.
Negative binomial and Cox proportional hazards regression modelling were used to generate incidence rate ratios (IRR) and HRs with 95% CIs, respectively.
The binomial method was used to calculate 95% CIs for incidence rates.
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