Additional sub-population analyses were done regarding the association between uveitis and vitamin D deficiency, annual household income, and educational level.
Sub-population analyses focused on each sex separately show that the risk for urinary tract cancer attributed to UTB is even higher among female patients.
To explore the possible interaction of UTB with different age groups, sub-population analyses were also performed by dividing the TB patients into those<60 or⩾60 years of age.
In the sub-population analyses focusing on males and females separately, COPD remained an independent risk factor associated with pulmonary TB in either genders with a similar hazard ratio (Table 3).
For sub-population analyses of younger and older (⩾60 years) patients, UTB was also independently associated with the development of urothelial carcinoma in both age groups, but the hazards ratio of UTB was higher in younger patients.
However, in the sub-population analyses restricted to female and male patients separately, urinary TB remained an independent risk factor for urothelial carcinoma among the female patients, the predominantly non-smoking population (Wen et al, 2005), with a hazard ratio higher than that of male patients and the overall TB population.
Mean values of the variables of interest were compared across sub-populations, and correlation analyses were performed between changes in coping skills, stress levels, and changes in relationships.
In this study, we analysed opinion formation in a population of five sub populations, i.e., extremists of old and new ideology, zealots of old and new ideology, and moderates with the neutral opinion.
†Whole study population analysed.
Details of the cohort study methods [11], [12] and of the sub-population selected for genetic analyses [5] have been reported elsewhere.
To further examine whether the association between serum non-HDL-C concentration and risk of death from CVD may be consistent in sub-populations, we conducted subgroup analyses using a 10 mg/dL increase in non-HDL-C as the predictor variable, stratified by demographic characteristics and selected CVD risk factors.
