1
Census data were used to determine rates adjusted for age and sex.
2
Analyses were adjusted for age, sex, level of education and intracranial volume.
3
All the data were adjusted for age, duration of diabetes and HbA1c.
4
Sex specific comprehensive prediction equations adjusted for age and height are provided.
5
Multiple linear regression models were carried out, adjusted for age and sex.
6
P values for comparisons were adjusted for age, sex, and smoking status.
7
Models were additionally adjusted for age and other baseline characteristics predicting treatment risk.
8
This analysis was adjusted for age, sex, stage and first-line treatment.
9
Associations were analyzed using regression models adjusted for age, waist, and standard lipids.
10
This analysis was adjusted for age, sex and country of origin.
11
All presented results were adjusted for age, sex, and laboratory batch.
12
The odds ratios were adjusted for age and sex with logistic regression analysis.
13
Estimates were adjusted for age group, week of onset, time to swabbing and co-morbidities.
14
Estimates of risk were adjusted for age and body size.
15
The COPD and control groups were adjusted for age (23 patients each).
16
All group comparisons were adjusted for age, gender, education and familiarity with the region.
